A pulmonologist discusses the history and influence of race-based reference equations in pulmonary function testing interpretation and patient care.

Risk assessment helps patients understand why cancer occurred, the role of genetics, treatment options and prevention strategies for themselves and family. In an interview with CURE, Dr. Elias Obeid, ...

The paramedics did almost everything right. They responded to a call for an unconscious man slumped on a bus bench. He was barely breathing. His pupils were pinpoint. The signs pointed to a narcotics ...

Black patients face higher odds of having their credibility questioned in EHRs compared to White patients, potentially affecting care quality. Less than 1% of EHR notes contained language undermining ...

(Boston)—The patient–doctor relationship is built upon trust in not only doctors’ knowledge and skills but also attitudes. Over time, notions of trust in medical education have focused increasingly on ...

CHICAGO--(BUSINESS WIRE)--Patients with liver diseases will have expanded access to advanced ultrasound imaging and transplant options, thanks to new policy allowing doctors to use contrast-enhanced ...

Please provide your email address to receive an email when new articles are posted on . Patient-reported physical function predicts which patients gain greatest survival benefit from daratumumab.

Janine E. Curcio and Dr. Robert Lowe provide a seven-point scale based on speech and responsiveness to decide whether or not to use sedation for an agitated patient. Managing an agitated or aggressive ...

Patient engagement is a necessity when performing health technology assessment to help better assess and identify the outcomes of a rare disease. Rare diseases present distinct challenges to health ...

If you are a doctor, the odds are that your patients think or do things you don’t agree with. Nearly half of Americans believe at least one health-related conspiracy theory, people routinely lie to ...

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, ...