Uses and advantages of artificial intelligence in medicine
Posted: Tue Jan 21, 2025 8:37 am
Artificial Intelligence ( AI) is one of the hottest topics since ChatGPT opened to the public in spring 2023. According to many, it is one of those milestones of technological advancement that, like the internet, has the potential to revolutionize our lives before we even realize it. There are many opportunities on the horizon in various sectors, in particular artificial intelligence in medicine is generating many expectations and hopes .
What is artificial intelligence in medicine?
By February 2023, the US Food and Drug Administration had approved more than 500 AI applications; by October 19 of the same year, there were already almost 700. However, it is not easy to understand where the dividing line is between what could really revolutionize the sector and what could not. We are not moving in the direction of robot doctors, but rather towards an increasing integration of machine learning systems in certain areas and specific specializations. There are specific training courses for those who want to participate in this healthcare revolution, for example through an MBA in Healthcare & Pharma or a Master in Artificial Intelligence & Machine Learning for Business .
What is clear is that the use of artificial intelligence in medicine is only in its infancy, but we can already see enormous potential. For example, it could transform the way doctors diagnose, treat and armenia whatsapp data manage diseases , as it could have, and partly already has, a major impact on the development of new therapies and drugs. At present, the use of artificial intelligence in medicine can be divided into two macro-categories: virtual and physical. The virtual part includes medical image analysis, data analysis, new drug development and personalized medicine; the physical part mainly includes the use of AI in robotic surgery.
Artificial intelligence in medicine
Applications of AI in medicine
One of the main uses of AI in medicine is in the analysis of medical images . Artificial intelligence algorithms can analyse MRIs, X-rays and CT scans to help doctors detect and diagnose diseases such as cancer, heart disease and neurological disorders. There are machine learning systems with an 'eye' comparable to that of a highly experienced radiologist, because they are able to store information from many reports and learn how best to read an exam.
Secondly, there is the predictive part, for example in the cardiovascular and oncological fields . AI systems that can identify heart failure from an electrocardiogram with a level of reliability comparable to the clinical indices currently in use.
What is artificial intelligence in medicine?
By February 2023, the US Food and Drug Administration had approved more than 500 AI applications; by October 19 of the same year, there were already almost 700. However, it is not easy to understand where the dividing line is between what could really revolutionize the sector and what could not. We are not moving in the direction of robot doctors, but rather towards an increasing integration of machine learning systems in certain areas and specific specializations. There are specific training courses for those who want to participate in this healthcare revolution, for example through an MBA in Healthcare & Pharma or a Master in Artificial Intelligence & Machine Learning for Business .
What is clear is that the use of artificial intelligence in medicine is only in its infancy, but we can already see enormous potential. For example, it could transform the way doctors diagnose, treat and armenia whatsapp data manage diseases , as it could have, and partly already has, a major impact on the development of new therapies and drugs. At present, the use of artificial intelligence in medicine can be divided into two macro-categories: virtual and physical. The virtual part includes medical image analysis, data analysis, new drug development and personalized medicine; the physical part mainly includes the use of AI in robotic surgery.
Artificial intelligence in medicine
Applications of AI in medicine
One of the main uses of AI in medicine is in the analysis of medical images . Artificial intelligence algorithms can analyse MRIs, X-rays and CT scans to help doctors detect and diagnose diseases such as cancer, heart disease and neurological disorders. There are machine learning systems with an 'eye' comparable to that of a highly experienced radiologist, because they are able to store information from many reports and learn how best to read an exam.
Secondly, there is the predictive part, for example in the cardiovascular and oncological fields . AI systems that can identify heart failure from an electrocardiogram with a level of reliability comparable to the clinical indices currently in use.