MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...
Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...
Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Opinion
21dOpinion
AI Integration In MedTech Devices And Diagnostics: Regulation And Investment Opportunities
GE HealthCare Technologies Inc. (NYSE: GEHC) leads with 100 FDA-approved AI devices, concentrating heavily on imaging and diagnostics. Their CleaRecon DL technology sharpens cone-beam CT images using ...
Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
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