The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with ...

Doctors at Jaslok Hospital in Mumbai are creating an AI-based tool that aims to predict freezing of gait in Parkinson’s ...

The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...

As a drug moves through research and regulatory processes, any mistakes in the data will be compounded. Small gaps that a ...

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A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.