health-ai

AI model evaluation with a focus on healthcare

NeurIPS'24 DB (Spotlight) | Instruction Tuning Large Language Models to Understand Electronic Health Records

An open-source non-official community implementation of the model from the paper: Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks: https://surgical-robot-transformer.github.io/

An simple, reliable, and minimal implementation of the AI CoScientist Paper from Google "Towards an AI co-scientist" with Swarms Framework

Match synthetic patients to clinicaltrials.gov restAPI data with ChatGPT4. Course project for Johns Hopkins University EN.705.651.8VL : Large Language Models: Theory and Practice

An Intelligent Health LLM System for Personalized Medication Guidance and Support.

Dimensionality Reduction techniques to improve machine learning model performance for Fetal health dataset

CareConnect uses state-of-the-art large language models (LLMs) to provide rapid, reliable medical guidance. This project addresses increasing wait times and health misinformation, offering timely assistance and supporting informed decision-making to alleviate the burden on the healthcare system.

An AI-powered skin condition detection system using YOLO, Roboflow, and OpenCV. The model accurately identifies common skin issues like wrinkles, pigmentation, acne, and more with 80% accuracy. Ideal for dermatological screening, this tool brings fast, accessible skin analysis using real-time object detection.

Machinery is a Rust-based framework for continuous individual health monitoring that constructs accurate, personalized health models through iterative system prediction