Mass General Brigham’s foundation model work shows how multimodal AI can centralize and accelerate predictive tools for dementia

Epic embedding AI charting into its EHR changes the competitive landscape for ambient scribe startups and reshapes clinician

AI in healthcare is hitting a corrective moment as misuse, pilot failures, and regulatory scrutiny expose gaps in

Regulatory bodies and privacy authorities are converging on expectations for healthcare AI: risk-based controls, evidence pipelines, and vendor

As AI proliferates across prior authorization, regulatory operations, and vendor solutions, transparency gaps are emerging that threaten patient

Point‑of‑care AI is shifting diagnostic and communicative value into the clinical encounter. This post analyzes how bedside algorithms

Healthcare AI requires balancing model performance with strong data governance. This post outlines technical privacy methods, governance structures,

AI in clinical care faces a corrective moment: persuasive outputs and fast deployments have exposed dangerous failure modes

Academic medical centers are moving beyond ad hoc pilots to build formal AI education and assurance infrastructure. This