Articles related to ARTIFICIAL INTELLIGENCE (AI)

A supervised random forest classifier trained on 330 features derived from nocturnal polysomnography achieved areas under the ROC curve approaching or exceeding 0.8 for distinguishing narcolepsy type 2, idiopathic hypersomnia, and controls in a national French reference database.

A machine learning sleep EEG score measured in midlife was associated with neuropsychological performance over a decade later in a Framingham cohort.

OpenAI introduced clinician-tailored ChatGPT capabilities for documentation, evidence synthesis, and patient education, with several major academic centers as early enterprise adopters.

Across 11 AI scribe tools and 5 standardized primary care cases, AI-generated notes scored lower than human notes on every PDQI-9 quality domain, with a 23.5-point gap in an acute low back pain case.

An AI model trained on ECG images identified patients with ATTR‑CM across multiple cohorts, highlighting a potential scalable approach to improving early detection.

“When patients truly understand their procedure, clinics run more smoothly and outcomes improve.” — Dr. Stanley Windsor, Head of Digital Health, Rayner