Topics
Browse by topic
Each hub summarizes the state of play in one slice of AI in healthcare and links to our reporting in that area.
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Ambient AI scribes
Ambient documentation systems that listen to a clinical encounter and generate the visit note — from Nuance DAX to Abridge, Suki, and the health-system-built alternatives.
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Medical imaging AI
The most mature slice of clinical AI — radiology, cardiology, pathology, ophthalmology — where FDA authorizations, evidence, and deployment realities are all farthest along.
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FDA & AI/ML-enabled devices
The regulatory pathway for AI/ML-enabled medical devices — 510(k), De Novo, PMA, PCCP, and the post-market surveillance signal that shapes the whole field.
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Payer AI
Prior authorization, claims review, coding automation, and utilization management — the payer-side AI applications that shape how care gets paid for.
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Clinical LLMs
Large language models used in clinical workflows — from ambient scribes and inbox triage to patient-facing chat and physician copilots. Safety, HIPAA, and the FDA's evolving stance.
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Health-system copilots
Enterprise-scale AI deployments across health systems — governance, procurement, EHR integration, and the operational reality of running clinical AI at scale.