Tech Times on MSN

Medical AI learns wrong lessons: Shortcut learning fools diagnostic benchmarks

Medical AI diagnostic accuracy can appear excellent on benchmarks while the model exploits physicians' test-ordering habits ...
TMCnet

Large-scale study points to potential -- and challenges -- of using machine learning as diagnostic aid

Plasma-free metanephrines are the recommended first-line test for detecting masses known as pheochromocytomas and paragangliomas (PPGL), which cause the body to overproduce stress hormones. Left ...
Forbes

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Forbes contributors publish independent expert analyses and insights. Sai writes about healthcare, innovation and technology. This voice experience is generated by AI. Learn more. This voice ...
Medical Xpress

Machine learning algorithm brings long-read sequencing to the clinic

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.
Medical Xpress

New AI tool addresses accuracy and fairness in data to improve health algorithms

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...
techtimes

AI Healthcare Technology: The Power of Machine Learning Diagnosis in Modern Medicine

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today’s evolving medical landscape. Pixabay, ...
Health Affairs

The Trillion-Dollar Algorithm: Lessons From Machine Learning For MA Risk Adjustment

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...
National Academies of Sciences%2c Engineering%2c and Medicine

Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...