Self-hosted platform to unify wearable health data through one AI-ready API.

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

Privacy focused AI powered meeting intelligence using locally hosted Small Language Models. StenoAI Scribe for structured clinical notes available.

The world's most powerful open-source bio AI assistant - Access academic literature, clinical trials, drug labels, and more, all through natural conversation.

[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs

Open-source SDK for healthcare AI: FHIR endpoints, EHR integration, and deployment tooling in Python 💫 🏥

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.

Official implementation of "UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis" - A unified medical vision-language model that integrates multimodal understanding and generation capabilities.

[ICLR'25] Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

Healthcare AI Model Evaluator (HAIME) empowers healthcare organizations to independently evaluate and customize AI solutions, addressing challenges of transparency, clinical relevance, and real-world impact. By putting control in the hands of clinical professionals, it enables confident, context-specific adoption of AI in healthcare.

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

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

MediScan: AI-powered bone fracture detection system achieving 99.8% accuracy through deep learning. Features real-time X-ray analysis, transparent Grad-CAM visualizations, and clinical integration tools. Built with Python/FastAPI backend and responsive HTML/CSS frontend, making advanced medical diagnostics more accessible to healthcare providers.

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]

iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels [Electronics 2024]

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

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

AI-powered Clinical Decision Support System (CDSS) for chest X-ray analysis, detecting pneumonia (89.9% accuracy) using CNN on Kaggle's Chest X-ray Dataset. Full-stack app with Next.js, Django, TensorFlow. Features drag-and-drop uploads, vitals input, and diagnostic reports.

KG-assisted Medical Dialogue Generation

The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .

No description provided.

A new age EMR application using conversational AI at its best.

Advanced multi-agent Medical AI Assistant powered by LangGraph that delivers empathetic, doctor-like responses using a hybrid pipeline of LLM reasoning, RAG from medical PDFs, and intelligent fallback tools. Features Long-term memory with SQLite, dynamic tool routing, and state reasoning for reliable, context-aware consultation.

This project compares the performance of UNet, ResUNet, SegResNet, and UNETR architectures on the 2017 LiTS dataset for liver tumor segmentation. We evaluate segmentation accuracy using the DICE score to identify key factors for effective tumor segmentation.

SkinAI is an AI-powered web application designed to analyze skin conditions and provide immediate insights.

SympCheck Helper is a modern healthcare consultation chatbot that leverages the power of DeepSeek V3 API and Supabase to provide intelligent health-related assistance. Built with cutting-edge technologies, it offers a seamless and intuitive experience for users seeking health information and support.

Deep learning model for pneumonia detection in chest X-rays using TensorFlow and Streamlit

Combining a five-level AI framework with git-native memory overcomes session amnesia, enabling anticipation of problems weeks early. Production results: 2000x cost reduction, 10x+ productivity, shifting AI from reactive to predictive partnership through emotional intelligence, tactical empathy, and systems thinking.

NeuroCure is a cutting-edge project focused on the detection and classification of brain tumors, leveraging the power of deep learning for advanced medical image analysis. Developed using TensorFlow and a variety of custom models, this initiative aims to deliver accurate and efficient identification of brain tumors from MRI scans.

⚕️ the world's first unified, lifecycle-centric regulatory framework specifically designed for autonomous AI agents in medical environments (270+ requirements, 3 risk categories).