New actigraphy-based algorithm shows TAK-861 significantly increases nap free days and reduces sleep time per day among those with narcolepsy type 1.

Suffice to say that health care’s transition to AI will be incremental. Emerging technologies need time to mature, and the short-term needs of health care still outweigh long-term gains. In the ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

EP: 9. Current Evidence and Clinical Algorithms for Targeted Management of Polycythemia Vera: Applying Trial Insights to Patient Care EP: 10. Case-Based Discussion: Management Strategies for ...

Learn how healthcare and legal experts have developed a framework for evaluating AI-powered algorithms in healthcare to ensure non-discrimination and legality.

A coalition of 12 Philadelphia-area health systems have abandoned the use of race adjustments in four clinical tools ...

Taking race into account when developing tools to predict a patient's risk of colorectal cancer leads to more accurate predictions when compared with race-blind algorithms, researchers find.

In fact, none of the three clinical algorithms they point to involving measuring kidney function, lung function, or which children may have a urinary tract infection (UTI) are race-based. All of them ...

A STAT Investigation looks at how race became a predictor in medical diagnoses, and the difficulty in separating implicit bias and science in revising clinical algorithms.