This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. A clinician walks into an exam room, sits down, and spends the ...

Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

This article is authored by Hariharan Subramanian, managing director, Siemens Healthcare Private Limited.

Forbes contributors publish independent expert analyses and insights. I cover transformation and innovation across the health care industry. This voice experience is generated by AI. Learn more. This ...

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...

OpenAI on Monday released a large dataset for evaluating how well large language models answer questions related to health care. Experts lauded the open-source data and detailed evaluation rubrics, ...

Annual Report on Affordability highlights how integrated care models improve quality while lowering health care spending. WASHINGTON, June 29, 2026 /PRNewswire/ -- As health care ...

A new systematic review reveals that only 5% of health care evaluations for large language models use real patient data, with significant gaps in assessing bias, fairness, and a wide range of tasks, ...

The Centers for Medicare & Medicaid Services' (CMS) Oncology Care Model (OCM) was an alternative payment model for fee-for-service Medicare beneficiaries with cancer who were undergoing chemotherapy ...