TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

Repository for "AI/MD in Medicine" club in clubhouse

AI based Medical Assistance App

Sparrow AI - API for disease diagnostics

This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

Machine learning projects applied to healthcare

MedSearch is a Medical Knowledge Extraction System that incorporates Neural Search, Q&A, Summarization, etc. from the medical literature.

Large language model of Medical AI, General Medical AI (GMAI)

Transfer learning pretrained vision transformers for breast histopathology

Predict which cell is cancerous with 96% accuracy using SVM machine learning algorithm.

⛏️A collection of tools and practices for image registration. | 图像配准的工具和实践集合

Final Project for CS 229 - Machine Learning (Fall 2022)

Medical AI Paper List

Automated pipeline for Multi-Variate Time Series AI in medical longitudinal analysis, following FAIRness principle.

An AI system that can detect and localise pathologies exists in human Chest X-Rays.

This repository aims to present a general, customazible pipeline for MRI images based on a single configuration file (in .json format) that has different flags and according to them, a certain pre-processing procedure with desired steps is performed.

On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness

Kurtlab's code for BraTS 2023 submission