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AI in Fashion: Applications with Use Cases & Role in the Industry

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AI in Fashion Industry

Wearing clothes is not only a necessity of humans, instead, they get the chance to show off their style, beauty, personality, and lavish lifestyle. The fashion industry is one of the biggest in the world with market size of US$ 3 trillion as of 2018.

Artificial Intelligence (AI) in fashion is changing this industry by playing a crucial role in the various key divisions. From design to manufacturing, logistic supply chain and marketing, AI in fashion is playing a big role in transforming this industry.   

Actually, in the age of digitalization, AI and machine learning based technologies in the fashion industry are providing an automated solution to manufacturers helping them to leverage the intelligence of AI into fashion and exhaust the best possibilities into their field.

So, right here we brought a great discussion, how artificial intelligence is changing fashion with use cases, role and impact of AI on this industry.

How AI is Changing Fashion: Role & Impact on the Industry

How AI is Changing Fashion

AI in Fashion Design – A Clothing Designer

The design and patterns with the right color combination are the key points to design a costume to make it attractive for the customers. AI can detect the new trends with demand in projecting the new trend reducing the forecasting error.

Trends in the fashion industry change very fast with new designs or patterns come every day in the market. Designers need to keep pacing with new styles. And AI algorithms can analyze designs through images to copying popular styles.

AI in Fashion Design

And after analyzing the data set of designer clothes and AI uses such data to see what does and does not sell well in the markets and create or recommend designers to build and launch a completely new design in the market.

Retailers giants like Amazon and Walmart now have their own clothing brands and are using the machine learning systems that can identify the spot and, in the not-too-distant future, design fashion trends that customers also prefer to buy.

AI in Fashion Manufacturing, Supply Chain & Fashion Store

In fashion, apparel manufacturing is the labor-intensive industry. From sewing to sorting or dresses, there are mundane tasks now AI can perform with a better level of accuracy at faster speed reducing the extra cost spent on workers.  

AI in Fashion Manufacturing

AI robots and computer-enabled machines can easily stitch the fabrics with perfection while at the same time it can also detect faults in fabric and offer quality assurance to ensure that the actual design shades will suit the new colors.

Video: AI Robots in Fashion & Sewing

Also Read: How AI Is Creating New Job Opportunities For Low-Skilled Workers?

AI in inventory and supply chain management is facilitating to speed-up by improving routes, cutting the logistic supply and shipping cost.

ai in supply chain

Using the AI companies automate logistics and supply chain processes for faster delivery or find alternate routes for vehicles derailed by unforeseen circumstances such as bad weather or road construction.

While, AI in fashion store also uses algorithms with humans-in-the-loop as virtual personal stylists. This AI-based system recommends the best items for them a human stylist picks the final suggested products as per the body types.  

AI in Fashion Retail

AI and machine learning in retail are also providing an automated solution to monitor the customer’s activities while shopping and visualize their sentiments to know what kind of products they prefer to buy and what they ignore.

AI in Fashion Retail

AI can also track footfalls in retail shops or record the shopping experience of the customers with option to get feedback on how was their experience while shopping at the retail shops with an opportunity to improve their services.    

And visual perception based AI models also helps store owners to keep the records of the inventory in their store and also categorize items in-store helping store owners to manage their inventory with AI-backed automated solution.

AI Fashion Stylist – Styling the Fashion Accessories  

Moreover, the use of AI in fashion is also allowing each one of us to find those elusive perfect outfits that suit our body type and fashion preferences.

Such AI-enabled clothes and outfits are not only tailored for different occasions and weather, but also to the user’s style, body type, colours, and the latest fashion trends. 

AI Fashion Stylist

iLUK is an AI-based personal stylist, using the Computer Vision-based and 3D Reconstruction technology at its heart to make personal styling based on technology possible. It is designed as a pod that will be placed at a retail outlet.

In AI fashion stylist computer vision and 3D reconstruction based technology are used to develop a 3D avatar of the customers.

The measurement data are then fed into the AI software to analyze your body-shape, with an identical body mass, shape, size and colour, while suing your face to show the outfits.

Also Read: How To Pick Dress For Your Body Shape: Tips for Women Body Types

Van Heusen created a retail environment complete with a “Virtual Trial” mirror which lets users see how outfits would look on them by simply scanning the item’s barcode and standing in front of the mirror as virtual garments are projected onto their reflection.

Video: Van Heusen Style Studio for AI Fashion Stylist

The fitting rooms house interactive mirrors as well, letting shoppers try and compare different outfits by snapping pictures of them in each outfit for them to then compare them side by side to help them make a decision quickly without wearing it.

AI in Fast Fashion with Smart Mirror

Similarly, AI powered smart mirror is used by the retailer store simplifying the shopping experience of the customers with virtual visualization of clothes how they look on you even without putting the clothes actually on your body.

AI in Fast Fashion

The AI smart mirror is installed in the changing room of retail stores with touch screen glasses that relay information on whether or not a person is inside, they will also help to get information about the item the customer has brought into the store. 

For such smart mirrors, clothing racks are RFID enabled and use gyro-sensors and Bluetooth low-energy chips allowing the articles selected by shoppers automatically show up in the Smart Mirror.

See how windows virtual mirror works, showing a shopper“trying on” outfits, superimposing it on the image of her body in the mirror,following her movements, and even changing the color of items at her voicecommand

Video: How Windows Virtual Mirror Works?

And using this mirror customer can look at different sizes and colour options and also receive personalized mix-and-match options to complete the look.

Rebecca Minkoff’s flagship New York City connected store features a large, interactive mirror that shows off the latest Rebecca Minkoff brand content. The shopper can use the mirror to browse various looks and add them to their fitting room to try on.

Video: AI Interactive Smart Mirrors

The interactive mirrors in each fitting room give the user the option to contact a stylist, change the lighting, and attach the items she has tried on during the visit to a personal profile so they can be accessed during future visits to the store.

And be able to receive intelligent recommendations based on the clothing saved. Items can be sent directly from the fitting room to checkout to finish the shopping.

AI in Online Fashion with Recommendation in Ecommerce

Similarly, just like retail fashion stores, AI is playing a game-changer role in online shopping and Ecommerce business. While browsing or searching the fashion items on e-commerce sites, AI recommends the other similar items, as per your color preference, budget and other attributes.

AI in Online Fashion

Actually, machine learning technology is used here to analyze your filtering behavior and what kind of products you are looking for. Analyzing your search history data it recommends the other suitable items probably you should check.   

AI in Visual Search – To Find the Products Using Camera

Nowadays E-commerce stores AI-based visual search technology used to understand the content and context of these images and return a list of related results. You can use your camera to capture an object and search the same online.

AI in Visual Search

AI-based visual search technology allows retailers to suggest thematically or stylistically related items to shoppers in a way they would struggle to do using a text query alone.

Actually, the AI visual search model is trained with huge amount of data sets that contain the annotated images making the clothing items recognizable to machines. 

AI in computer vision visual search

And with the help of ML algorithms machines can recognize separate objects within a picture. This enables additional shop-the-look use cases that create cross-sell opportunities for the sellers.

While on the other hand, for media companies visual search is an opportunity to transform fashion sites into a personalize shopping experience. 

Role of Artificial Intelligence and its Impacton the Fashion Industry

Nowadays, AI is playing a crucial in the fashion industry with huge potential to make this AI integrated into various other subfields. It is powering the manufacturers to redefine how fashion businesses engage and interact with their customers.

AI role and impact on fashion

AI-enabled applications and system are enhancing the customer’s experience that goes beyond personalized ads, notification alerts on price drops, or chatbot assistance.

With this kind of technology, fashion brands strive to put customization at the forefront for customers during their buying journey. 

Moreover, AI will not only help designers to predict the upcoming trends, visualized by the current fast-changing-environment, but also examine and minimize the impacts on the environment while producing the fashion garments and accessories.

Further, 3D printing technology is also going to be used with the help of AI. 3D printing will enable professionals to transcend any boundaries of design, as it gives them a chance to turn the most improbable projects into reality.

Artificial Intelligence Impact on Fashion

Customers now becoming aware to use the AI-enabled features while searching or buying clothing or fashion accessories online. Customers can take a photo and match the accessories and clothes over brands to get the same design. 

Artificial Intelligence Impact on Fashion

Apart from that, it is also reducing the errors and making the product delivery process fast through automated warehousing management.

Companies or brands can now ask for feedback and suggestions through AI featured applications.

Artificial intelligence impact on fashion will make this industry more smart and intelligent in understanding the sentiments and fashion taste of customers.

In the long-term, it will have a constructive impact on the entire industry empowering the manufacturers to introduce the most demanding clothing lines timely with more precision.

Whereas, at the customer end, it will facilitate them to explore more products as per their choice, personality and affordability with the personalized shopping experience.

Customers will easily find the right costumes and fashion accessories with the option to visualize wearing the same accessories virtually to get the best one at one click.        

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Artificial Intelligence

How AI Can be Used in Smart Cities: Applications Role & Challenge

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how ai can used in smart cities

As per the international organization reports, more than fifty percent population globally living in urban areas, and by 2050, more than two-third population will live in cities providing big investment opportunities of tech development companies.

As per the IDC report, by 2021, the spending on smart cities likely to reach more than $130 billion to make the urban areas and cities more livable with advanced infrastructural facilities and society management systems.  

AI in smart cities is going to play a big role in making urbanization smarter aim to be sustainable growth making the cities equipped with advanced features to live, walk, shop and enjoy a safe and more convenient life in such an environment.  

Actually, while developing cities to make smart, several challenges likeadministration, sanitation, traffic congestion, securitysurveillance, parking management and many more that AI can helpto provide a sustainable solution to habitants.    

USE OR APPLICATIONS OF AI IN SMART CITIES

The use of artificial intelligence in smart cities can be life-changing if implemented in the right spaces. There are multiple zones in cities or in urban development where AI can be used to improve the performance and efficiency of the system.  

Advance Security Camera & Surveillance System

AI-enabled cameras and sensors can keep an eye on the surroundings to enhance the security level in the city’s neighborhoods. Such cameras can recognize the people and their faces or track the unusual activities done by them in restricted areas.

Watch Video: How AI-enabled Security Cameras Helping Police Monitor Illegal Activities in the Cities

The high-resolution AI cameras can track the movement of all registered vehicles and can monitor crowd density and cleanliness of public spaces round-the-clock. And thanks to the historic data available from different departments of the city, police can predict category and intensity of crimes monitoring all such activities in a particular area. 

Vehicle Parking and Traffic Management System

In cities, most of the people have their own cars and also there is a huge movement of commercial vehicles to transport people as well as goods. So, parking of such vehicles and traffic management is another space where AI can help.

Watch Video: How to AI is Solving the Car Parking Problems in the Cities

Using the road surface sensors or CCTV cameras incorporated into parking spots allow cities to create real-time parking and traffic maps, helping drivers to save their time by avoiding waiting to find an empty space to move smoothly or be in traffic.

AI-supported traffic sensor systems can use cameras to collect real-time data of vehicles on road, and send it to a control center, which collates the data fed from other points and adjusts the signal timings to ensure smooth flow of vehicles.

Smart transportation also includes the public sector, and thanks to AI, there are lots of opportunities for improvement of public transit. And now cab services like Uber are also using AI to give a better riding experience to its customers.

Autonomous Flying Objects for Ariel View Monitoring

AI-enabled drones or autonomous flying similar objects can be used to monitor the inner-city and houses or other concerning areas. The in-built cameras in drones help to provide the real-time visuals of the different locations where humans cannot reach easily or quickly helping the administration and security departments to take timely actions.   

Also Read: How AI Based Drone Works: Artificial Intelligence Drone Use Cases

Autonomous flying drones can track humans, monitor traffic movement and provide the 2D aerial view imagery mapping for better urbanization of cities. It can be used for advanced security and surveillance for security departments and crime squad.  

Watch Video: How Autonomous Flying Drones used for Ariel View Monitoring

Face Detection Cameras and Movement for Public Safety

AI in face recognition technology is capable to detect the different people from their faces disclosing their personal identities. AI in security cameras or drones can recognize the human faces and match with the database to trace his identity and authenticate the person entering the cities, societies and other restricted areas.   

Watch Video: How AI Cameras used for Face Detection & Public Movement  

Landmarking annotation is the technique used to train the AI-based model in the face recognition system. And to make cities smart, such high-level of face detection technology is necessary to make the surroundings more safe and private.      

Smart Waste and Disposal Management System

People living in cities produce a huge amount of waste that is another challenge for urban management to find the right way of managing garbage and keep the environment clean to maintain the hygiene level in society. AI-enabled cameras can detect trash thrown on the street and recognize the types of garbage for categorization.     

Watch Video: How AI-enabled Smart Waste Management System Works

But AI-enabled installing sensors on waste bins can make the waste collection more efficient. Authorities can receive notifications when the bins are about to be filled and ensure reducing operational costs by eliminating unnecessary pickups, providing dynamic collection routes, and schedules for optimization of waste management.

Better Governance and Planning Management

While developing the cities or urban townships, AI or machine learning techniques can be used to map land use across time to generate crucial insights using the satellite imagery and aerial view 2D or 3D images of geographical areas.

The algorithms trained through machine learning can analyze satellite images for city planning and development with scope to adjust the formation based on changing data, areas prone to calamities like flooding, earthquake and storms. Such real-time as well as historical data, can continuously be monitored to enable better governance. 

BENEFITS OF SMART CITY DEVELOPMENT

The integration of AI in smart cities has multiple benefits for humans as well as the environment. From an eco-friendly environment to sustainable development, AI in smart cities comes with multiple types of advantages for everyone discussed below.

Also Read: How Can Artificial Intelligence Benefit Humans

Positive Impact on the Environmental

One of the best benefits of smart city development is that there will CO2 emission and it would be the main driver behind the development of smart and sustainable cities. And it would be possible due to energy-efficient and eco-friendly, waste and traffic management, which helps to curb pollution and makes the environment less polluted.     

Optimized Energy & Water Management

Similarly, in smart cities, the power generating grid and smart water management are leading factors that help to produce energy with less pollution. Such an approach also helps to get clean drinking water keep our environment clean.   

More Accessible Transportation System

In smart cities, clean and efficient transportation of goods, services are essential for the people. In the hope of optimizing mobility, many cities are turning to smart technologies to ease traffic congestion and provide users with real-time updates.

Advance Security and Safety in the Public

The safety of the people in the cities is at topmost priority in such cities. The AI-enabled development of smart cities allowing municipalities to better monitor their citizen’s thanks to CCTV cameras with facial recognition. Furthermore, AI cameras are also equipped with motion and smoke detectors for better security surveillance.  

AI SMART CITY CHALLENGE

Achieving the AI in smart cities is not a simple task, as there are multiple challenges in making the cities smart. Apart from lack of funds, lack of technological edge and other things discussed below make it difficult to develop such cities.

Infrastructure and Costing

Most of the devices, equipment, systems, and machines installed in smart cities use sensor technology to gather and analyze information such as rush hour stats, gather a huge amount of data from AI cameras or other security systems or air quality or crime rates. The implementation of these sensors requires a sophisticated and costly infrastructure.

Security and Privacy Concerns

Another challenge in developing such metropolises is security and privacy of people living in such cities. As the data of monitoring people or watching their activities gathered can be regarded as a challenge as the use of IoT and sensor technology increases.

Besides, the threat of cyber-attacks is a critical issue for smart cities. Hence, to avoid concerns about data use, smart cities need to involve their citizens. Awareness, education, and transparency on the purpose of data collection are crucial to make the community feel that they are truly taking part in making their city more sustainable.

Risk of Socialization

While developing such cities, inclusive urbanization must be a priority to deal with the increasing vulnerability of poor and slum populations. That is why we need to ensure that no population is excluded from smart city data collection and use. Covering all age, gender, class and income group of people from society is necessary.  

How Do Smart Cities Aim to be Sustainable?

AI in smart cities development can play a crucial role in urban planning, development and management with the an advance security systems, traffic monitoring and disposal management to make the societies more secured and livable with access and control of their home and other activities making their living experience more enjoyable and comfortable. 

And to develop the AI-enabled systems for smart city development, machine learning and AI companies need a huge amount of training data for smart cities to train the models like drones, AI security camera and face recognition system to work with accuracy and provide the correct information making the smart cities really smart for sustainable growth.

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Artificial Intelligence

How AI Robotics is Used in Healthcare: Types of Medical Robotics

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How AI Robotics is Used in Healthcare

Robots are one of the first-born automated machines, develop to perform various actions helping humans to complete various daily or repetitive tasks in a short span of time. And now using machine learning, robotics developers are building AI robots that can better understand the various scenarios and work more efficiently.

From manufacturing to agriculture, AI robots are playing a big role in making the production process faster and cost-effective due to mass production achieving the economies of scale helping such industries, produce the goods more economically than others.         

Robotics in Healthcare

AI robots in healthcare are now playing a big role in providing an automated solution to medicine and other divisions in the industry. AI companies are now using big data and other useful data from the healthcare industry to train robots for different purposes.

Robotics in Healthcare

AI in robotics making such machines become more intelligent learned from the data and perform various crucial tasks without the help of humans. So, you need to know about such robots, how they are used in medical fields and what are the types of robotics used in the healthcare industry.

Types of Medical Robotics Used in Healthcare

Types of Medical Robotics

Robots for Transporting the Medical Supplies

Medical supplies and other essential items used in hospitals, or medical centers can be now supplied by these trained robots. Actually, robots can be developed with self-navigation technology, to move in the hospital premises to reach a patient’s room or other places without human help.

Watch Video: Robots Deliver Lifesaving Medical Supplies

AI robots are trained with a huge amount of machine learning training data with sensor fusion location technology to make the navigational capabilities of transportation robots more robust. Anolytics, is one of them, providing high-quality training data sets, to train the AI-based robots.

Also Read: What is Training and Testing Data in Machine Learning with Types

Robots Used for Sanitation and Disinfection

To avoid human contacts, and minimize the transmission of highly contagious disease like COVID-19 and other infections, robots are the best options to use for disinfecting or sanitizing the infected areas. It can simply, spray the chemicals and disinfect the large areas with high speed saving time and efforts.

Also Read: How AI is Used in Healthcare to Control the Coronavirus Disease

AI robots are used for disinfection and sanitation can be sanitized, as it is also exposed to contaminated areas, and become infected. While humans exposed to such diseased areas, it makes him sick or health complications. So, robots can be used for sanitization or disinfection at different locations.  

Robotics for Prescription Dispensing Systems 

AI robots can perform accurately at better speed, which is a very important aspect for the healthcare industry to provide accurate details or medication and work faster for the quick response and timely treatment to patients.

Similarly, an automated dispensing system with advanced features, are developed to point where robots can now handle powder, liquids and highly viscous materials with better speed and accuracy. Such robots can dispense many other items when installed at hospitals or medical centers.

Robots Used as Telepresence Physicians  

Telepresence physicians – a kind of virtual reality physician is also used to examine and treat patients from remote locations or rural areas. Robots with Telepresence can provide the feeling of getting consulted with a real doctor, making the two-way communication possible among them. 

Watch Video: How Telepresence Robots Works

However, in critical situations, specialists can be called, via robot to answers the questions and guide about the treatment from the remote locations. And such AI robots are also equipped with AI cameras and other features to examine the patients physically and provide a realistic diagnosis of patients.      

Robots to Work as Surgical Assistants 

AI-enabled robots can be developed to assist surgeons to perform various tasks. These are continually being developed, with more advanced 3DHD technology gives surgeons the spatial references that are mainly required to perform highly complex surgeries.

Also Read: How AI in Medical Imaging Can Help in Diagnosis of Coronavirus

Such robots are equipped with including more enhanced natural stereo visualization, combined with augmented reality. And these robots are trained with different types of training data through computer vision to make them understand the scenario and perform the right action accordingly.

How AI Robots are Trained?

The robotics developed on AIprinciples, can work or perform various functions without the help of humanswhen they are deployed to use in real-life. And to detect the various objectsand visualize the different situations, these robots are trained through computer vision technology.

And using computer vision technology, machine learning algorithms are trained to learn certain patterns and predict the results precisely learned from such data sets. The data used to train the computer vision-based AI models like robots contains the annotated images of the objects, that help machines to detect and recognize in different situations available in different shapes and sizes. 

And there are many data annotation companies, provides the image annotation solution for AI and machine learning models. It can annotate the images to provide the AI robotics training data with the best level of accuracy to make such machines work with the best accuracy.

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Artificial Intelligence

How AI in Medical Imaging Can Help in Diagnosis of Coronavirus?

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AI in Medical Imagining coronavirus

The highly contagious disease coronavirus or COVID-19 spread rapidly confronted healthcare professionals globally with unprecedented clinical trial and diagnostics challenges. As they struggle to cope with such highly transmissible disease at the same time also continue to take care of patients and diagnosis timely among new people who are at risk of getting infected.

Here, AIcan play a big role in detecting the COVID-19 like a disease from the infected patients, helping others for early diagnosis without the help of radiologists. Actually, over the past few years AI algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks with amazing results in medical imaging analysis.

AI in Healthcare

Though, AI in healthcare is already playing a vital role through various computer systems, applications and AI-enabled devices working round-the-clock to assist patients, control disease, carrying medical supplies and disinfecting the hospital premises, buildings and other places automatically without the help of humans keeping them away from such infections.

AI in robotics, autonomous flying drones, AI security cameras and self-driving cars are providing the automated solution in fighting with COVID-19 like a deadly disease. AI is also successfully involved in discovering and developing effective drugs and vaccines for such new diseases with the best level of accuracy. So, in the radiology department, let’s find out how AI in medical imaging can help to diagnose and cure the COVID-19 like a deadly disease.

Also Read: How AI is Used in Healthcare to Control the Coronavirus Disease

The Role of AI in Radiology

AI in radiology works like an artificial mind detecting the disease with an acceptable level of accuracy. And AI-enabled machines or medical systems not only can detect the diseases but can also suggest the medicines as per the patient’s biological conditions and types of syndromes evident at the initial stage of diagnosis by the doctors or medical attendants.

Also Read: How Does AI Work in Radiology: Applications and Use Cases

And when AI-enabled devices or computer systems are trained with a huge quantity of annotated medical imaging datasets, with the right algorithm, it can diagnosis such disease without the help of radiologists. Similarly, to avoid human contacts, AI in radiology can be used to diagnose COVID-19 like a deadly disease with a high level of accuracy.       

Earlier in radiology practice, medical imaging analysis specialist doctors or you can say radiologists visually assess the medical images for the detection, characterization, and monitoring of diseases. But now AI systems perform automatically recognizing complex patterns in imaging data and providing quantitative, rather than qualitative, assessments of radiographic characteristics.

Epidemiology and Artificial Intelligence

Similarly, AI in epidemiology can help doctors and medical experts before the outbreak of deadly disease to minimize its impact on the people. But again here AI medical diagnosis system can do this job precisely if the model is trained with the right quality and quantity of medical imaging training datasets that have been prepared with CT Scan, MRI or ultrasound medical imaging reports of infected patients.

Also Read: How AI Can Predict Coronavirus like Epidemic Before it Outbreaks

And the hosting of such images at one place along with annotation and analysis framework will enable researchers to understand epidemiological trends and to generate new AI algorithms to assist with COVID-19 disease detection, differentiation from other pneumonia and quantification of lung involvement on CT for forecast or therapy planning in advance.

Apart from medical imaging, AI in epidemiology can be implemented with various other types of other data that only big data experts or data scientists can analyze the certain trends in changing the behavior of people or other types of a sudden change in economic activities or unexpected increase in demand of specific medicines or healthcare products, etc.

AI in Medical Imaging to Diagnosis COVID-19

In the case of COVID-19 outbreak, most of the patients infected into their lungs started with pneumonia or the common cold, sneezing and throat infections with short of breathing. And the diagnosis of all such symptoms are possible with imaging technology, like X-rays, CT Scan or MRI of chest or lungs of patients which a radiologist can analyze to understand the severity of the infection.    

AI in Medical Imaging Analysis for COVID-19 Diagnosis: Use Cases

A Canadian startup and researchers from the University of Waterloo are open-sourcing COVID-Net, a convolutional neural network that aims to detect COVID-19 in X-ray imagery. In response to the pandemic, a global community of health care and AI researchers have produced a number of AI systems for identifying COVID-19 in CT scans.

Similarly, tech giants like Yahoo and AI startups claimed they’ve created systems capable of recognizing COVID-19 in X-ray or CT scans with more than 90% accuracy. Similarly, a new artificial intelligence-powered deep learning model has helped radiologists in China to distinguish COVID-19 from community-acquired pneumonia and other lung diseases in chest CT imaging.

The study developed as part of a six-hospital study, where researchers refined the model using 4,356 exams from 3,322 patients. The COVID-19 Detection Neural Network for short—scored high marks, notching 90% sensitivity and 96% specificity for diagnosing coronavirus infection.

This kind of amazing results demonstrates that the right machine learning approach using the convolutional networks model can distinguish COVID-19 from community-acquired pneumonia. And this model also scored high marks in differentiating such diseases from novel coronavirus, with the 87% sensitivity rate and 92% specificity rate.

AI Can Detect Coronavirus Symptoms Quickly & Accurately  

AI is detecting the infection faster than doctors with better accuracy. In china using 5,000 confirmed cases as their training data, scientists built an algorithm claiming it can detect coronavirus infections in CT scans in just 20 seconds and with 96% accuracy.

Radiologists are saying results are the proof-of-principle for using artificial intelligence to extract radiological features for timely and accurate COVID-19 diagnosis.

In another study, researchers reached a similar conclusion after going through over 46,000 images. They said the deep learning model showed comparable levels of performance with expert radiologists, and greatly improve the efficiency of radiologists in clinical practice.

Similarly, in China, a new smart image-reading system has been launched by a company that can assist doctors with efficient and accurate diagnoses by leveraging AI technology and can help to control the epidemic through earlier diagnoses and treatment.

Role of AI in Conducting the COVID-19 Diagnosis Process Safely

As, we know the COVID-19 virus is a highly contagious disease, hence, doctors or radiologists are also vulnerable to get infected with this deadly virus. But with the help of AI in medical imaging diagnosis, AI’s strengths find its ways and liberate the medical staff for more intimate care for the patients where human presence and interventions are indispensable and invaluable.

Actually, while handling a patient, a radiologist or technician has to come in physical contact with the patient for instructions about how to position and breathe correctly. AI is used to take the human presence out of the exam room and allow the radiologist to guide the patient through the process contact-free minimizing their risk of getting infected.

How Medical Imaging Datasets Used for COVID-19 Analysis?

To develop the AI model that can detect such disease through medical imaging analysis, a huge amount of training dataset is required. As the COVID-19 smart image-reading system has been trained using similar clinical data and aims to close this gap.

Moreover, AI in medical imaging and diagnostics can conduct a comparative analysis of multiple CT scan images of the same patient and measure the changes in infections. That helps doctors to track the development of the disease, evaluate the treatment and arrive at the prognosis for the patients.

It can assist doctors in diagnosing, triaging and evaluating COVID-19 patients speedily and effectively. The COVID-19 smart image-reading system also supports AI image-reading remotely by medical professionals outside the epidemic areas.

The medical imaging community globally united to control such disease with early and safe detection of such disease using the AI. Hence, to create and share the medical imaging dataset, The Radiological Society of North America continues to build on its extensive body of COVID-19 research and education resources, announcing a new initiative to build a COVID-19 Imaging Data Repository.

And this open data repositorywill compile images and correlative data from institutions, practices, andsocieties around the world to create a comprehensive source for COVID-19research and education efforts like training the new AI models.

And such data can be also used by a highly experienced radiologist to analyze and annotate the area of interest to create the medical imaging datasets for developing the more reliable AI model that can easily and timely detect such an epidemic with the best level of accuracy.

Data annotation companies are providing healthcare training data for AI and machine learning development. Actually, it is an expert in image annotation services with the next level of precision to provide high-quality training datasets for computer vision-based AI models.

For deep learning medical imaging diagnosis, such companies can be a game-changer to annotate the medical imaging datasets detecting different types of diseases done by the highly-experienced radiologist making the AI in healthcare more practical with an acceptable level of prediction results in different scenarios benefiting the humans.

Also Read: HowCan Artificial Intelligence Benefit Humans

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Owing to a steady rise in coronavirus cases in India, the central government has extended the lockdown for the next...

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