Topic: "medical-ai"
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1,026 - Forks: 233

ChaofanTao/Autoregressive-Models-in-Vision-Survey
[TMLR 2025🔥] A survey for the autoregressive models in vision.
Size: 8.33 MB - Last synced at: about 16 hours ago - Pushed at: about 18 hours ago - Stars: 655 - Forks: 18

MIC-DKFZ/MedNeXt
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
Language: Python - Size: 551 KB - Last synced at: 26 days ago - Pushed at: 9 months ago - Stars: 410 - Forks: 42

ai4colonoscopy/IntelliScope
Frontiers in Intelligent Colonoscopy [ColonSurvey | ColonINST | ColonGPT]
Language: Python - Size: 32.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 66 - Forks: 4

mims-harvard/ClinVec
ClinVec: Unified Embeddings of Clinical Codes Enable Knowledge-Grounded AI in Medicine
Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 59 - Forks: 6

seungjunlee96/AI-for-Medicine
This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)
Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 53 - Forks: 21

KalyanM45/OpenHealth
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.
Language: Jupyter Notebook - Size: 61.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 49 - Forks: 19

SiyuanYan1/PanDerm
[Nature Medicine'25] PanDerm: A Multimodal Vision Foundation Model for Clinical Dermatology
Language: Jupyter Notebook - Size: 5.05 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 45 - Forks: 3

hungntt/xai_thyroid
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
Language: Python - Size: 2.01 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 45 - Forks: 6

hollobit/AIML-in-Medicine-club
Repository for "AI/MD in Medicine" club in clubhouse
Size: 1.06 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 42 - Forks: 7

Snehal-Reddy/MedAI
AI based Medical Assistance App
Language: Python - Size: 12.3 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 13

BARUDA-AI/Awesome-Medical-LLM
Large language model of Medical AI, General Medical AI (GMAI)
Size: 122 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 1

SiyuanYan1/Derm1M
[ICCV'25] Derm1M: One million image-text pairs for dermatology
Language: Python - Size: 5.45 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 14 - Forks: 1

jaketae/vit-breast-cancer
Transfer learning pretrained vision transformers for breast histopathology
Language: Python - Size: 18.6 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 4

rfonod/deepsleep2
A compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.
Language: Jupyter Notebook - Size: 791 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 13 - Forks: 3

sparrow-platform/disease-diagnostics-engine
Sparrow AI - API for disease diagnostics
Language: Python - Size: 1.54 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 11

DanielhCarranza/MedSearch
MedSearch is a Medical Knowledge Extraction System that incorporates Neural Search, Q&A, Summarization, etc. from the medical literature.
Language: Jupyter Notebook - Size: 328 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 3

DanielhCarranza/Machine-Learning-in-Healthcare
Machine learning projects applied to healthcare
Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 3

leduckhai/Wearable_LDF-FS
A collection of wearable studies for Laser Doppler Flowmetry and Fluorescence Spectroscopy sensors
Language: Jupyter Notebook - Size: 6.22 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 12 - Forks: 2

KurtLabUW/brats2023_updated
Kurtlab's code for BraTS 2023 submission
Language: Python - Size: 86.9 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 0

Agora-Lab-AI/SRT
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/
Language: Python - Size: 32.2 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 9 - Forks: 1

Torabiy/HLS-CMDS
Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope (HLS-CMDS)
Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

notJustinWu/PPGtoBloodPressure
Final Project for CS 229 - Machine Learning (Fall 2022)
Language: Python - Size: 7.12 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

tomash-dev/Blood_Brain
This project uses YOLO for real-time leukemia detection in blood samples and CNNs for classifying brain hemorrhages in MRI scans. It aims to support faster, more accurate medical diagnostics through deep learning.
Language: Python - Size: 173 MB - Last synced at: 5 days ago - Pushed at: 11 days ago - Stars: 6 - Forks: 1

LeapLabTHU/UltraBot
This repository contains the implementation for "Towards Expert-level Autonomous Carotid Ultrasonography with Large-scale Learning-based Robotic System", a groundbreaking project that combines robotics, deep learning, and medical ultrasound imaging to automate carotid artery scanning.
Language: Python - Size: 17.4 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 5 - Forks: 0

Simonlee711/Clinical_ModernBERT
[arXiv 2025] Pre-training script for Clinical ModernBERT
Language: Python - Size: 1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 2

Gyanvir/DrParser
Dr.Parser 🩸📊 – AI-powered blood report parser that extracts and analyzes medical data from images/PDFs. Built with React, FastAPI, EasyOCR, and Gemini AI. 🚀 🔹 Local Setup Available | 🔹 Future Enhancements Planned | 🔹 Hackathon Project 👉 Clone, run, and explore the future of AI-driven healthcare!
Language: Python - Size: 64.4 MB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

jc-cp/mri_preprocessing
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.
Language: Python - Size: 49.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

vovanshil95/ML-ECG-Research
Проект машинного обучения для анализа электрокардиограмм (ЭКГ) с использованием сиамских нейронных сетей для обучения с малым количеством примеров (few-shot learning). Этот проект реализует подход глубокого обучения для анализа сигналов ЭКГ и обнаружения сердечных аномалий.
Language: Jupyter Notebook - Size: 658 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 3 - Forks: 1

pedrodevog/SynthECG
The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models
Language: Python - Size: 13.6 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

mims-harvard/AIM2
Artificial Intelligence in Medicine II
Language: HTML - Size: 341 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

The-Swarm-Corporation/Medical-Swarm-One-Click
Get started building safe, reliable, and production-grade multi-agent systems for medical applications!
Language: Python - Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

vggls/medical_xai
On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness
Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

Armanx200/Brain-Tumor-Detector
🧠 A deep learning model that classifies brain images as either having a tumor or not.
Language: Python - Size: 13.4 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

kaintels/medical-ai-papers
Medical AI Paper List
Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

JiaxingQiu/FAIRStream
Automated pipeline for Multi-Variate Time Series AI in medical longitudinal analysis, following FAIRness principle.
Language: Jupyter Notebook - Size: 57.7 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 3

ibrahimcreator/DigiHealth-AI-Disease-Prediction-With-Chatbot
AI-powered disease prediction system with ML/DL models and integrated health chatbot.
Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Camille-Maslin/BrainScan-AI
🧠 BrainScan-AI: A deep learning project for brain tumor detection and classification using MRI scans, achieving 94% accuracy across multiple tumor types.
Language: Jupyter Notebook - Size: 521 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

SuienS/parallelxnet-cxr-classifier
An AI system that can detect and localise pathologies exists in human Chest X-Rays.
Language: Jupyter Notebook - Size: 4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

Jujulis18/medical_chatbot
Medical Chatbot RAG est un assistant conversationnel intelligent conçu pour répondre à des questions médicales courantes, tout en s’appuyant sur des sources fiables et validées. Il utilise un pipeline RAG (Retrieval-Augmented Generation) pour enrichir les réponses d’un LLM avec des documents métiers (mental health)
Language: Python - Size: 3.17 MB - Last synced at: about 9 hours ago - Pushed at: about 11 hours ago - Stars: 1 - Forks: 0

NinoF840/nino-medical-ai-demo
Open-source medical AI demo platform for education and research - AI Act & GDPR compliant
Language: Python - Size: 118 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1

cconsta1/DentalAgeClassification-scripts
Vision Transformer and EfficientNetV2 models for binary age classification using panoramic dental x-rays
Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

kaalpanikh/INTRO-AushadhiAI
AushadhiAI - An intelligent prescription analysis tool that uses AI to identify medications from uploaded prescriptions. Users can upload images (including iPhone HEIC formats) to get detailed information about medications, including indications, side effects, and drug interactions. Built with vanilla JavaScript frontend and Python backend.
Language: Python - Size: 45.2 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

sean-zw/SynthECG
This repository hosts advanced models for generating ECG signals using deep learning techniques. Contributions are welcome, so feel free to fork and submit your improvements! 🐙💻
Language: Python - Size: 11.7 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

Chrisolande/Medical-Graph-RAG
A comprehensive RAG pipeline combining knowledge graphs, vector search, and LLM generation for medical document analysis. Features semantic caching, advanced reranking, and modular architecture for scalable knowledge discovery from medical literature.
Language: Python - Size: 59.5 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

chrisdev-ts/dabetai-aimodels
🤖 Módulo de inteligencia artificial para dabetai. Modelos de predicción de complicaciones diabéticas tipo 1 (retinopatía, nefropatía, neuropatía, pie diabético). Componente de backend para plataforma de monitoreo de la diabetes.
Language: Python - Size: 42 KB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

vovanshil95/deep-cv-models-on-mri
Репозиторий реализует модели глубокого обучения для обнаружения ишемического инсульта на FLAIR МРТ-сканах путём анализа симметрии между полушариями мозга. Подход сочетает 2D/3D-CNN и топологический анализ данных для интерпретируемой диагностики.
Language: Jupyter Notebook - Size: 827 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

utsab1009/AI-HealthDoc-Chatbot-PDF-FAISS-FLAN
A privacy-focused local LLM chatbot for chatting with healthcare PDFs using FAISS + FLAN-T5.
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

dragonpilee/Genetic-Disorder-Prediction-Model-Trainer-GPU-Accelerated-
GPU-accelerated Python app using Tkinter and CUDA to train logistic regression models for predicting genetic disorders. Supports CSV import, synthetic data, and real-time training visualization
Language: Python - Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Isaree-ai/Isaree-Platform
Open-source medical-compliant AI Assistant and AI Agent Orchestration Engine with marketplace
Size: 31.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

skl0726/AI-Paper-Review
Al (especially computer vision) paper review and model code implementation by PyTorch
Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

akhilchibber/Diabetes-Detection
Machine Learning based Diabetes Detection
Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

hex-0x00/HealthHive
AI for healthcare innovation, empowering medical research and diagnosis.
Language: JavaScript - Size: 674 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

planetrenox/MedicalScribeAI
AI Medical Scribe / Medical Notes AI App for Android & IOS available for a very low cost!
Language: HTML - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sairbarbaros/Cancer-Cell-Classifier-High-Acc
Predict which cell is cancerous with 96% accuracy using SVM machine learning algorithm.
Language: Jupyter Notebook - Size: 82 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

OldBonhart/MedRadService
AI application on Django 2 - "MedRadService"
Language: HTML - Size: 77.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

asigalov61/CFS-ME-Testimony-2020
GPT2-774M model, fine-tuned on all public information and papers (up to 2021) related to Chronic Fatigue Syndrome/Myalgic Encephalomyelitis
Language: Jupyter Notebook - Size: 126 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

jonathanrao99/Brain-Tumor-Detection-using-Deep-Learning
🧠 Detect brain tumors from MRI scans using MobileNetV2 deep learning! 86.6% accuracy with transfer learning. Complete EDA, visualization, and production-ready code.
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: about 13 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0

llamasearchai/OpenAccelerator
High-performance systolic array computing framework with AI agents and medical compliance.
Language: Python - Size: 1.38 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

JuanInfante122/heart-risk-model
AI-powered 10-year cardiovascular risk prediction with 85.2% sensitivity. Stacked ensemble model with advanced feature engineering, probability calibration, and interactive Streamlit web app for real-time risk assessment.
Language: Python - Size: 2.16 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Usmannooh/GADA
Official implementation of "GADA: A Graph-Based Dual Attention Model for Chest Temporal Disease Tracking and Radiology Report Generation". Cite using and Code: https://github.com/Usmannooh/GADA
Language: Python - Size: 433 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

xerk-dot/medical-coding-ai
A comprehensive benchmarking platform for CPT, ICD-10, and HCPCS coding questions. Identifies the most reliable models for healthcare applications. Evaluates multiple AI models on medical coding expertise through iterative consensus-building.
Language: Python - Size: 3.94 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

kgelli/Medical-Condition-Predictor-BERT-Flask
AI-powered medical condition predictor using BERT and TF-IDF models with drug recommendations - Master's Capstone Project
Language: Jupyter Notebook - Size: 108 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

adnaan-tariq/CareGenix
CareGenix deploys 5 autonomous AI agents that collaborate seamlessly to transform healthcare delivery, from patient intake to ongoing care management.
Language: Python - Size: 2.16 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

ToniG14/Reasoning_CDSS
🏥 Clinical Decision Support System for Pulmonary Embolism - An agent-based AI system using LLMs and RAG to assist healthcare professionals with evidence-based PE diagnosis and treatment recommendations.
Language: Jupyter Notebook - Size: 5.46 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Akaiko1/Cytologick
(WIP) PyTorch/TensorFlow powered semantic segmentation software for cytological slides
Language: Python - Size: 1.03 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

gawadx1/Medical-Literature-RAG-Gradio
A Retrieval-Augmented Generation (RAG) system for summarizing medical literature from PDFs and answering queries using Groq and Gradio.
Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

adabyt/logistic_regression_tutorial
Implement logistic regression using Python and scikit-learn to classify malignant vs. benign tumours from the Breast Cancer Wisconsin (Diagnostic) dataset
Language: Python - Size: 0 Bytes - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

bnutfilloyev/chest-xray-pneumonia-detection
🏥 Advanced AI-powered pneumonia detection system using chest X-ray analysis with EfficientNetB0 and ONNX runtime. Full-stack medical application with FastAPI backend and React frontend.
Language: TypeScript - Size: 340 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

omerdduran/riskfactor-heart
This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accuracy with strong cross-validation.
Language: Python - Size: 1000 Bytes - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

HanaFEKI/Silver_Medal-Clinical_reasoning_challenge
NLP solution for the Zindi challenge predicting clinician responses to real Kenyan healthcare vignettes. Fine-tuned a bart-large model under strict resource limits, achieving a Silver medal (rank 62/440). Focused on clinical reasoning with limited data in low-resource settings.
Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

Pranav-here/Healthcare-Chatbot
Sub-second RAG-based chatbot for medical Q&A over 10+ textbooks with source-cited responses.
Language: Python - Size: 38.1 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

xivis2/Brain-Stroke-Predictor
Predict brain strokes with our AI model. Classify MRI images using VGG19 and get instant predictions. Try the app now! 🧠💻
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

abubakarwakili9/RuralEdgeHealth
RuralEdgeHealth: Is an Offline-First Edge AI and IoT System for Healthcare Monitoring on Entry-Level Smartphones in Resource-Constrained Environments
Language: Kotlin - Size: 2.02 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

MuhammadHassan2020/Inflammation-cell-classification_ML
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dystaSatria/DenseNet-Optuna-Hyperparameter
This repository contains a comprehensive deep learning solution for Alzheimer's Disease Classification using state-of-the-art DenseNet architectures optimized with Optuna hyperparameter tuning. The project implements multiple DenseNet variants for classification of Alzheimer's disease stages from brain MRI images.
Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

lpolish/offlinedoctor3
🏥 Offline Medical AI Assistant for Healthcare Professionals - Complete offline operation with local LLM inference using Tauri + React + Rust
Language: Rust - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Drackass/pneumonia-classifier
🩺 This repository is made to contain a deep learning-based pneumonia detection system from chest X-ray images
Language: Python - Size: 413 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vanhai1231/xray-ai-streamlit
Streamlit app for pneumonia detection from chest X-ray images. Ứng dụng AI phát hiện viêm phổi từ ảnh X-quang phổi.
Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vuongle202/MultiModal-CancerDetection-LitReview
This repository offers a comprehensive literature review on multi-modal cancer detection, focusing on how various data types enhance AI/ML model performance. Explore the integration of imaging, genomics, and clinical records to improve detection rates for cancers such as lung and breast. 🦠💻
Size: 163 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

litongjiangmedai/hms-empathy-ai-2025
Size: 1.83 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

igopalakrishna/colorectal-cancer-prediction
Full-stack MLOps pipeline for predicting colorectal cancer patient survival using Gradient Boosting, Kubeflow Pipelines, MLflow, and Flask. Designed for hospitals, researchers, and real-world healthcare applications.
Language: Jupyter Notebook - Size: 6.58 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

vedprakashnautiyal/MedAid
A Bi-Modal Multi-Agent Medical Assistant, designed for healthcare professionals and researchers
Language: Python - Size: 125 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Yameteshka/MultiModal-CancerDetection-LitReview
Literature review on AI-based multi-modal cancer detection using imaging, genomics, and clinical data. Bachelor student project (2025).
Size: 170 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

aimaster-dev/medical-ai-assistant
A smart AI assistant for clinics using LangGraph, LangChain, and OpenAI GPT. It handles patient queries, schedules appointments, detects emergencies, and updates medical records through multi-turn, memory-aware conversations.
Language: Python - Size: 33.2 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

SergeyFilipov/ecg-arrhythmia-detection
Deep learning model for automated classification of cardiac arrhythmias using ECG signals from the MIT-BIH database. The project combines signal preprocessing via wavelet transform and a multi-layer CNN architecture, achieving over 98% test accuracy across 15 heartbeat classes. Designed for real-time and clinical applications.
Language: Jupyter Notebook - Size: 68.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ZaneBrackley/VIZMed
Thesis Project | Vision-Integrated Zero-Shot Medical AI
Language: Python - Size: 88.9 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

anamolkhadka/quickdoc-ai
QuickDoc 🩺 is an AI-powered virtual health assistant chatbot that provides general medical advice in a friendly, conversational style using OpenAI GPT models.
Language: JavaScript - Size: 43 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NadaJoobeur/AI-Powered-EEG-Triage-System
AI-based EEG interpretation and remote neurophysiology consultation platform to reduce diagnostic delays in epilepsy care.
Size: 3.91 KB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NadaJoobeur/Medical-Research-Automation-Platform
MedVision is an AI-powered web platform for medical researchers, combining tabular data and medical image analysis in one intuitive interface. It automates preprocessing, model training (including 3D U-Net), and evaluation with experiment tracking—designed to accelerate research while maintaining reproducibility.
Size: 5.86 KB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NadaJoobeur/pharmaco-dose-predictor
Therapeutic dose prediction application for transplant patients, based on a Random Forest model.
Language: HTML - Size: 7.41 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

busradeveci/heart-failure-prediction-catboost
Predicting heart failure using CatBoost Classifier on clinical patient data. Includes EDA, model training, and performance evaluation.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Mohammed-asaad-AI/Breast-Cancer-KNN-Comparison
A simple machine learning project comparing a manual K-Nearest Neighbors (KNN) implementation with Scikit-learn’s KNN classifier on breast cancer diagnosis data.
Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ParsaSeyedpour/fmri-cognitive-decoder
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l1ght14/Blood_cell_detection_v2
Detects blood cells in images using a YOLOv8 model. Interactive web app built with Gradio and deployed on Hugging Face Spaces.
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t0gae/AI-Dementia-Diagnosis
AI-Driven Multimodal Dementia Diagnosis: 3D MRI morphometry, and sensor data using cross-modal attention (LSTM + 3D-ResNet + Transformer). Aims to reduce late-stage diagnosis by 60% through early detection.
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ArchitJ6/BioLens
BioLens is an AI-powered medical intelligence tool that analyzes blood reports using a multi-model AI system. It provides personalized health insights, secure authentication, and real-time feedback, all within a modern Streamlit interface. 🚀🩺
Language: Python - Size: 33.2 KB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Snigdho8869/pneumonia-detection-ai
This repository contains code for pneumonia detection using Convolutional Neural Networks and transfer learning with mobilenet. It includes pre-processing, model training and evaluation.
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realjules/monitor.ai
monitor.ai: Non-intrusive monitoring for FDA-approved medical AI, helping healthcare organizations ensure safety and compliance without modifying validated models.
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ArchitJ6/CancerGuardian
CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. 🚀
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