Artificial Intelligence

AI has shown potential in health care applications, but there are some factors physicians should understand regarding its regulation, a speaker at the Osteopathic Medical Education Conference explained.

Health care has experienced a wave of technological advancements — such as AI, machine learning and wearables — in recent years, but if unchecked, they may exacerbate existing disparities in treatment and care.

The AI revolution already has transformed delivery of cancer care.

A novel remote monitoring app could help patients provide real-time information about their disease — including flares and other health care visits — to their rheumatologist in the long durations between visits.

LAS VEGAS — CSI Dry Eye Software has launched new technology that uses AI to assist clinicians in making a dry eye diagnosis and developing a treatment plan, according to a company executive at Vision Expo West.

Few areas in medicine have been impacted by AI as much as cardiac electrophysiology. While still in early stages, it is already influencing how electrophysiologists detect disease and predict outcomes.

Use of AI in medicine is growing quickly. Clinicians are eager to learn what the technology can do, and speakers at meetings across specialties are envisioning its effects — good and bad — in practice management and patient care.

An artificial neural network demonstrated high accuracy in detecting bronchopulmonary dysplasia in infants using air flow data, according to a presentation at the European Respiratory Society International Congress.

When presented with complex pediatric respiratory scenarios, responses from ChatGPT achieved higher performance scores than trainee doctor responses, according to a presentation at the European Respiratory Society International Congress.

A multi-institutional team of researchers developed an AI model designed to predict which patients with breast cancer are most likely to experience chronic pain.