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.

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

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

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.

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.