Artificial Intelligence or AI is now playing a vital role in healthcare industry helping doctors take quicker decision and provide the precision medicine for timely treatment of patients in critical care or need regular assistant post medical surgeries or treatments.
Radiology is one the sub-field in the medical sector where AI is now playing a decisive role in diagnosing the various types of diseases using the medical images like X-Rays, CT Scan, MRI and Ultrasound etc. helping doctors to take faster decisions. But do you know how AI in radiology works and how AI is used in radiology find below the points.
AI Technology in Radiology
AI in radiology means an artificial mind can detect the aliments with 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 initial stage of diagnosis by the doctors or medical attendants.
Actually, AI-based machines are developed using the machine learning process in which large number of annotated medical images like X-Rays etc. are used with right algorithms to train the machines through computer vision and predict the similar results. And these images are first manually annotated by the experienced doctors and then AI-enabled machines are also used to annotate the similar images to feed into machine learning.
Meanwhile, machines are shown large quality of annotated data sets and as much such data is feed into the model it makes easier to detect the ailment. Once the model is fully trained, then raw data or without annotated images is shown to model for finding the malady, if the quantity and quality of data is good it will definitely predict with right results.
AI Applications in Radiology
The AI applications in radiology is immensely unpredictable, as from detecting a normal fracture in bones to diagnosing the cancer or tumors, in various parts of body, it is enabling the healthcare industry get a giant leap into the technology development. The applications of AI in radiology are expanded to wide range of diseases that can be detected through medical images and few AI use cases in radiology are mentioned below.
AI Use Cases in Radiology:
- Identifying Cardiovascular Problems
- Detecting Fractures and Bone Ailments
- Detecting Musculoskeletal Injuries
- Diagnosis of Neurological Diseases
- Screening for Common Cancers/Tumors
- Diagnoses of Teeth Problems Jaw Ailments
AI can do much more than your expectations if developed with right algorithms and data sets to recognize the wide number of verities into a particular sub-filed and also learn for using as a database before making any kind of predictions in such fields. Further with more improved machine learning training data, the AI models will detect disease with more accuracy.
Though, AI use in radiology is already helping patients to get faster medical care and timely treatments for deadly disease like breast cancer but still there is enough room in this technology to make it more precise and allow doctors completely rely on this technology.
As, currently before taking final decisions the doctors still manually check the medical images and their feedbacks are also used to correct the model predictions and help machine learning developers to make the more reliable AI-enabled systems and provide a better livening conditions to mankind helping humans live with less pain and more comforts.
How Can Artificial Intelligence Benefit Humans?
Artificial Intelligence (AI) technology is rapidly integrated into various fields and systems making the task easier, faster and more useful in terms of usability and less cost involved due to automation. Actually, AI is developed by humans, used by humans and now largely going to benefit humans by implementing into various applications across the fields.
The benefits of AI to humans is now apparently visible at diverse places from mobile phones, to virtual assistant and self-driving cars like examples you can find around you. The point is how AI helping humans and benefiting the humanity into different fields.
Top Benefits of Artificial Intelligence to Humans
Virtual Assistant Devices and Chatbot Apps
You can find AI into your virtual assistant devices like Amazon’s Alexa and Google Home that can listen your voice and give the right answer you are looking for. You can also find Google Assistant into your mobile phone that works on the same technology, answering your questions benefiting the humans in getting the reply without any human intervention.
Similarly, AI-based chatbots are also used by the companies to assist their customers virtually and solve their queries. You can chat with Chatbot and ask any kind of question related with products or services offered by the company, it will give you most suitable and satisfying answer while learning your behavior interactive with such applications.
Fully Automation of Systems and Industries
Using Machine learning, deep learning and AI-based technologies, companies and industries are now automating various tasks like warehousing and automated assembly lines reducing the workload of humans while optimizing the operational cost of their organization.
Many companies use AI-based tools, robots and machines into repetitive tasks that can work itself while understanding the various aspects to improve its quality and accuracy. Robots are best examples that are benefiting humans in performing their various tedious task and work with better efficiency allowing humans to get involve in decision making tasks.
AI in Healthcare for Quick Diseases Diagnosis
AI helping humans in healthcare for medical treatments and care with faster results. In hospitals AI-enabled machines are detecting the various types of diseases through medical images like X-Ray, CT Scan and MRI. AI in radiology works like detecting the various types of illness by analyzing these images without help of doctors giving the accurate results.
AI in healthcare works in various sub-fields like virtual assistant apps for monitoring the health conditions of patients or suggesting them right medicines and also gathering such info to use in health care training data to develop machine learning or AI-based models.
Benefits of AI to humans is this filed is really appreciable helping people get diagnosed the life-threatening diseases at early stage to cure timely. This technology is further integrated into various other sub-fields to make medical care and treatment process expedient.
Empowered Military Equipments with Less Causalities
May you have listen one day AI will end the humanity and robots or AI-enabled machines will permanently take over the planet. In this sense artificial intelligence for humans not seems beneficial, but this is not true, as humans can control such robots and machines.
However, AI-based drones and other self-driving weapons are now used in military combats. These AI-based guided missiles and auto-flying planes or war drones can destroy enemies saving the life of soldiers and keep them ready for emergent military actions.
Smart Cities and Home with Advance Security Surveillance
The benefit of AI to humanity now helping people live at advance homes located at smart cities with round-the-clock high-tech AI-backed security surveillance providing them better living experience with more control of their homes through portable devices.
Apart from addressing the public issues in ad hoc manners at such areas, AI-backed cities are developed with improved environmental planning, energy utilization, service delivery, resource management, and crime prevention across the homes and campuses.
AI can benefit humans into multiple fields but until and unless its accuracy and performance is improved, relying completely on such technologies is unsafe for humans. And high-quality training data for AI or machine learning is the key factor that should be used precisely while training AI models. And ML model validation before approval of prediction is also important to get the right results and enjoy the AI-backed systems safely.
What is the Difference between Artificial Intelligence and Machine Learning?
Artificial intelligence (AI) and machine learning (ML) are nowadays one of the hottest topics in the tech towns across the globe. China is heavily investing on R&D on AI and other developed nations like US, UK and Germany are also in the race to develop AI-base robots, machines, software, cars and business applications that can work without any human intervention.
Sometimes AI and ML are used interchangeably, making a kind of confusion among people who listen about the technological developments into this field. So, before we clarify the difference between AI and Machine Learning we need to simplify with the basic definition of both to make it more easily understandable while unfolding the dissimilarities between them.
What is Artificial Intelligence?
In a very simple and layman language, “Artificial intelligence is a theory and development of computer-based systems that can works behaving like human intelligence”. It is kind of study how to train computers so they can perform with their own thinking in different situations.
AI also sometimes called machine intelligence because it is demonstrated by machines. And nowadays automobiles, gadgets and equipment in healthcare or sector are using AI-enabled devices to reduce the repetitive tasks and minimize the human efforts.
What is Machine Learning?
Machine learning is a branch or you can say a subset of artificial intelligence in the field of computer science allowing machines to learn by its own without being explicitly programmed. Actually, with the help of an algorithm, it uses a machine learning training data to learn certain patterns and behaviours of the particular action to respond accordingly.
The prime aim of ML is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly. And the process of teaching initiates with observations of data such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we feed into them.
Difference between Artificial Intelligence and Machine Learning with examples
Artificial Intelligence is a wider concept that involves the research and development of machine learning based applications. ML is the sub-field of the AI and its main aim is to increase the accuracy by learning with high-quality training data while AI works as a computer program aimed to increase the chance of success and not the accuracy.
AI is you can say a final model that performs in decision making while ML allows the system to learn new things from the data. Machine learning process basically encompasses creating self-learning algorithms, whereas AI leads to develop a system to reposed like human intelligence and behave accordingly into different circumstances.
Self-driving cars, virtual apps like Google Assistant and Crotona, Alexa and Siri are nice examples of artificial intelligence. All these models have been trained with a huge amount of high-quality data with deep learning algorithms to work flawlessly and make human work easier. Cogito is the one the well-known AI training data companies, providing high-quality datasets for machine learning in various industries like healthcare, e-commerce and retail etc.
AI-enabled robotics and machines are various other best examples you can see around you or on the internet. But remember, artificial intelligence is a broad term that represents the general concept of machines being able to carry out smart tasks, and machine learning is a specific subset of algorithms for AI that helps to learn from data and perform accordingly.
To know more about AI and ML differences watch this video:
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