You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
Claude Code skill for multi-persona Bayesian diagnostic reasoning using NEJM Clinical Problem-Solving format with likelihood ratios, evidence-based medicine, and medical AI education
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.
🏥 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.
🩺 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.
Claude Agent Skill for clinical reasoning: differential diagnosis, GRADE evidence appraisal, a 13-perspective clinical board, and treatment planning. Every citation is resolved and checked for retraction. Calibrated confidence, traceable output, bilingual EN/ES. Decision-support drafts, never a diagnosis.
Uncertainty & Confidence Management (UCM): A healthcare AI benchmark suite for uncertainty recognition, justification boundaries, confidence calibration, proportionate action, and reassessment.
Enterprise-grade AI Clinical Intelligence Platform for evidence-based clinical reasoning, differential diagnosis, medical research, and decision support.
Research fork of KnowGuard: A* interactive clinical reasoning on ioMEDQA (PrimeKG+Hetionet, clinical RAG, NIM Ultra). Partial run ~71% ACC vs paper 70.98%.