In an era where technology continues to evolve at a staggering pace, the integration of algorithms into healthcare decisions holds both promise and peril. Over the last few decades, the role of ...

The use of AI at the doctor's office raises urgent questions about risk, equity, and informed consent for Black patients. Here's what you deserve to know.

California is taking aim at algorithms used by insurers to make prior authorization and other coverage decisions with a new law that will put limitations on how artificial intelligence (AI)–generated ...

A machine-learning algorithm can use demographic, symptomatic, and clinical data to accurately predict the health-related quality of life (QoL) of patients with kidney stones, new research shows.

Health systems have a large amount of patient data through EHRs and other digital platforms managing administrative tasks and clinical care. The de-identified patient data is useful for creating large ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

Health care data exists in many forms, from medical records held in health care facilities to information captured through daily routines and lifestyle choices. This includes vital signs, medication ...

The application of artificial intelligence (AI) for healthcare is transforming patient treatment, from advanced analytics to computerized automated diagnosis. However, with the increased application ...