
Machine learning simplifies blood clotting diagnostic tests
A new machine learning model decodes complex blood clotting delays without the need for opaque deep learning systems.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A new machine learning model decodes complex blood clotting delays without the need for opaque deep learning systems.

A new prospective trial shows consumer wearables can flag silent, life-threatening heart structural issues before symptoms even appear.

A new artificial intelligence model uses 23 million data triplets to explain its clinical decisions instead of acting as a black box.

Hospitals are buying AI tools on promises, but validating them in the real world remains a dangerous blind spot.

A new study reveals that commercial medical chatbots may be designed to funnel worried patients into paid clinical pipelines rather than just assessing their health.
Hospitals are rushing to deploy autonomous AI agents before figuring out how human teams will actually work alongside them.

By ditching hand-curated clinical profiles for raw administrative codes, researchers built an AI that predicts long-term mortality better than traditional medical indices.

By combining graph neural networks with language models, researchers have closed the gap between messy clinical symptoms and hard genetic data.

Elite cancer centers are finally trading exclusive data for global scale, shifting the balance of power in precision medicine.

A new partnership aims to bring precision medicine to a disease long starved of reliable biomarkers.