Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) domains. This repository contains complementary tooling in support of that specification.

CQF Clinical Reasoning on FHIR for Java

Project COLON-X (Shaping the neXt frontier in intelligent COLONoscopy)

Tooling for CQL and IG Authors

Official Codebase for "ER-Reason: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room"

Clinical Problem Solving skill for Claude Code — multi-persona Bayesian diagnostic rounds modeled after NEJM CPC format

Graph-based self-evolving memory for experience-augmented clinical reasoning with applicability-aware retrieval and online memory evolution.

This experimental application serves an open source large language model Llama-2 that is connect to a streamlit user interface. The user can define a list of custom symptoms or ICD-10 symptoms as input to the LLM. A two-step chain of prompts will output a list of differential diagnoses followed by a list of examinations to workup these diagnoses.

🩺 RAGnosis — An AI-powered clinical reasoning assistant that retrieves real diagnostic notes (from MIMIC-IV-Ext-DiReCT) and generates explainable medical insights using Mistral-7B & FAISS, wrapped in a clean Gradio UI. ⚡ GPU-ready, explainable, and open-source.

Does increasing GPT-5.2 reasoning effort improve diagnosis accuracy enough to justify the token/latency cost? Ablation study on 897 paired medical cases.

AI-Powered Medical Simulation Platform with 10k+ USMLE Cases. Interactive LIS & Clinical Decision Support.

Free medical intelligence for AI assistants. 5 agents, 20 skills. ClawHub/OpenClaw compatible.

Python CLI: Question bank vignettes → AI-enhanced Anki flashcards. Clerkship, shelf exam, and board exam prep for medical students and residents.

A full-stack medical AI assistant built with FastAPI and Next.js. Leveraging Spacy NLP for clinical entity extraction, it features a prioritized adaptive follow-up engine, a mathematical confidence scoring system for diagnostic certainty, and an auditable Safety Trace for explainable AI in healthcare. Full Version Will be deployed after Uni review.

A graphical causal modeling tool tailored for physical therapy research and clinical reasoning. Part of the Clinical Inquiry Network ecosystem.

Representing clinical reasoning as structured patient state for AI systems.

🏥 Clinical Decision Support System for Pulmonary Embolism - An agent-based AI system using LLMs and RAG to assist healthcare professionals with evidence-based PE diagnosis and treatment recommendations.

Fine-tuning the DeepSeek-LLM to create a medical expert for advanced clinical reasoning. Powered by Unsloth for 2x faster training and memory-efficient LoRA.

Nidana — LLM Clinical Reasoning Benchmark. Testing AI diagnostic accuracy across 20 medical specialties with 2000+ clinical vignettes.

💊 MediChat-RD — Multi-agent medical diagnosis platform (rare disease edition). CrewAI + PubMed + OMIM.