[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
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Updated
Jul 10, 2026
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
ClinVec: Unified Embeddings of Clinical Codes Enable Knowledge-Grounded AI in Medicine
First open-source OpenEvidence MCP server: browser-session medical research tools for Codex, Claude Code, and MCP clients
[ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"
AI-powered chest X-ray pneumonia detection with 86% accuracy and 96.4% sensitivity, validated on an independent (cross-operator) cohort of 485 pediatric samples. Built with TensorFlow & FastAPI.
Which LLMs can a dentist trust? A reproducible benchmark of language models on clinical dental knowledge, with clinician-verified rubrics across 6 domains. Part of Periospot.
Systematic evaluation of hallucination risks in Large Language Models (GPT-4, Claude 3, Gemini Pro) for clinical proteomics and mass spectrometry interpretation. Production-ready detection framework with comprehensive benchmarks.
Ethnic bias analysis in medical imaging AI: Demonstrating that explainable-by-design models achieve 80% bias reduction across 5 ethnic groups (50k images)
End-to-end healthcare AI system for patient outcome prediction with SHAP explainability, model comparison, and API-based deployment.
Real-time clinical risk stratification system using multi-factor analysis, vital sign monitoring, and machine learning for intelligent healthcare decision support.
A rigorously curated list of medical world models, patient digital twins, counterfactual simulators, and intervention planning systems.
🩺 AstraMed: A Clinical Risk Intelligence Platform. Powered by SOTA Ensemble ML & BioMistral-7B for predictive medical analytics and explainable risk scoring.
Rare AI Archive: open-source agentic diagnostic AI for rare genetic diseases — decentralized post-training, clinician validation, federated deployment
AI Skills for Dentists - Research critique, clinical evidence review, and content creation tools for Claude Desktop and Codex
Cross-modal AI framework for dermatological disease analysis
Turn clinical guideline PDFs into deterministic, auditable decision engines with source citations.
Employed Large Language Models to generate accurate wording for the "impression" section in the medical reports
Curated papers, code, datasets, and benchmarks for medical world models in imaging, EHR trajectories, treatment planning, surgical AI, robotics, and virtual-cell simulation.
An application to monitor clinical AI models
A clinical evaluation framework for LLMs that measures accuracy, abstention, calibration, deferral behavior, runtime, token use, and structured-output reliability across high-stakes medical reasoning tasks.
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