Due to advances in computer science and informatics, AI has increasingly become a part of modern healthcare. This is according to an IBM article. When the COVID 19 pandemic posed many challenges, healthcare organizations began seeking AI-supported technologies such as algorithms designed to help monitor patients as well as AI-powered tools to screen COVID 19 patients.
Currently, the most common role for AI in medicine is in clinical decision support and imaging analysis. To quote the IBM article, “Clinical decision support tools help [healthcare] providers make decisions about treatments, medications, mental health, and other patient needs by providing them with quick access to information or research that’s relevant to their patients. In medical imaging, Al tools are being used to analyze CT scans, X rays, MRIs and other images for lesions or other findings that a human radiologist might miss.”
The opportunities for AI to benefit clinicians and patients are on the rise. AI will no doubt become an integral part of digital health thereby shaping modern medicine.
AI has been used in medicine in the following areas:
-Disease detection and diagnosis
-Personalized disease treatment
-Clinical trial efficiency and,
-Accelerated drug development.
Click this link to read more of this fascinating article:
https://lnkd.in/geVHD-jv.
Want to leave your mark in medicine using AI? Here’s your chance! Sign up for our AI and Machine Learning Bootcamp for Doctors. This is your golden opportunity to stay relevant in medicine, become a leader, and get a front row seat in healthcare.
