[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

[ 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.

An application to monitor clinical AI models

[Project] Natural Language-Based Clinical Study Design Recommendation System

A clinical-grade malaria parasite detection system using YOLOv8 object detection with 99.14% mAP50 performance.

An interpretable ML system for diabetes risk prediction using clinical data. Features SHAP explanations, model comparison (Random Forest vs XGBoost), and a deployment-ready pipeline. Achieves 0.85 AUC with clinical decision support.

Oloche's AI Oncologist is a diagnostic tool that detects breast cancer in its early stage using ML. The system analyzes measurements from breast mass characteristics to classify tumors as malignant or benign with high accuracy, providing medical professionals with a powerful decision-support tool

AI-powered platform detecting autism and developmental delays 6+ months earlier through smartphone assessments. Clinical-grade analysis for early intervention.

This project is designed for a simple LLM agent with tools on a clinical knowledge graph in Neo4j.