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 ...

After clinical algorithms that use race as a variable came under scrutiny in 2020, several commonly used tools have been revised to align with medicine’s understanding that race is not a ...

Panelists discuss how polycythemia vera treatment follows a risk-stratified approach, with all patients receiving daily aspirin and phlebotomies to maintain hematocrit below 45%, while high-risk ...

These calculations are called clinical algorithms. MICHELLE MORSE: A clinical algorithm is a tool that clinicians would use to really best understand their patient's specific diagnosis or treatment.

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

Over the last four years, health systems across the United States have phased out the use of several clinical tools that use race to predict patient outcomes, replacing them with race-free ...

Vyas discussed how racial studies justify the inequitable treatment of minority groups in medicine at a Park Street Corporation Speaker Series lecture.