A field guide to the coming wave of medical AI agents

What it does

This repository is a curated bibliography—and companion to a 2026 Journal of Biomedical Informatics survey—tracking how agentic AI is being pitched for clinical work. It catalogs papers and projects where LLMs, multi-agent systems, and tool integrations are applied to medical imaging, EHRs, patient dialogue, drug discovery, and hospital administration.

The interesting bit

The maintainers do not simply dump links. They supply a conceptual framework diagram that maps the pipeline from raw data perception to hierarchical clinical applications, plus a statistical heatmap of research trends across modalities and specialties. The taxonomy is clinical-grade: dental agents, radiotherapy agents, and sepsis-warning agents each get their own bin.

Key highlights

• Tied to a formal survey paper with a BibTeX citation, giving it more academic backbone than a typical awesome-list.
• Splits research by audience: doctor-facing agents (radiology, pathology, surgery), patient-facing apps (mental health, screening), and back-office automation.
• Explicitly tracks cross-cutting themes like multi-agent reasoning, hallucination mitigation, and FHIR interoperability.
• Heavy focus on very recent literature, with a “Latest Papers” section dominated by 2025–2026 preprints and new benchmarks.
• Quantitative breakdown of top data modalities (text still leads; genomics and time-series are rising) and technology focuses (frameworks, reasoning, multi-agent collaboration).

Verdict

Worth bookmarking if you need to navigate the flood of clinical agent literature; avoid if you are hunting for ready-to-deploy code or mature frameworks.