rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

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

MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)

KG-assisted Medical Dialogue Generation

Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

Analyzing clinical decision instruments through the lens of data and large language models.

iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels

An advanced ECG anomaly detection system using deep learning. This repository contains a CNN autoencoder trained on the PTBDB dataset to identify abnormal heart rhythms. It employs various loss functions for model optimization and provides comprehensive visualizations of the results.

Clinical Reasoning Platform Base Repository

Using deep learning to detect pneumonia from chest X-ray images

This repository showcases a TensorFlow and Keras-based machine learning model, developed using Pandas for data preprocessing. The project focuses on breast cancer diagnosis, highlighting the Keras API for neural network architecture and TensorFlow for model training and evaluation.

Welcome to Healthcare Thoughts! This is where I share my insights at the intersection of healthcare and technology. Explore articles on federated learning, blockchain, AI in medicine, health data privacy, and telemedicine. Let's engage in meaningful conversations about the exciting world of healthcare tech!

Webapp for DaTreFo format, describing data required for healthcare research

Healthcare chatbot project dedicated to enhancing women's health in Africa, using AI. Capable of communicating in over 10+ African languages, and providing access to health care in any African language from anywhere on the continent.

In this repository, we embark on a comprehensive journey through multiple medical datasets, each addressing unique healthcare challenges. Our mission is to harness the power of machine learning and AI to advance medical practice and patient care. 📊💉

This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.

An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process