Topic: "healthcare-ai"
ubicomplab/rPPG-Toolbox
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
Language: Python - Size: 344 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 653 - Forks: 165
pat-jj/GraphCare
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Language: Python - Size: 22.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 158 - Forks: 30
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
NadavIs56/Skin_Disease_AI
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.
Language: PureBasic - Size: 4.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 10
xliucs/MetaPhys
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)
Language: Python - Size: 5.36 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 36 - Forks: 9
alok-devforge/MediScan
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.
Language: Jupyter Notebook - Size: 21 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 26 - Forks: 3
pat-jj/KARE
[ICLR'25] Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
Language: Python - Size: 14 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 26 - Forks: 4
PhysiologicAILab/FactorizePhys
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]
Language: Python - Size: 407 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 17 - Forks: 2
rajkstats/PharmAssistAI
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
Language: Jupyter Notebook - Size: 164 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 16 - Forks: 4
neerajwagh/evaluating-eeg-representations
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 14 - Forks: 0
LIANGKE23/Knowledge_Assisted_Medical_Dialogue_Generation_Mechanism
KG-assisted Medical Dialogue Generation
Language: Python - Size: 5.42 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 1
tanishq-ctrl/sympcheck-helper
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.
Language: TypeScript - Size: 19 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 12 - Forks: 0
SSameer20/SkinAI
SkinAI is an AI-powered web application designed to analyze skin conditions and provide immediate insights.
Language: TypeScript - Size: 100 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 11 - Forks: 8
xkaper001/DocPilot
A new age EMR application using conversational AI at its best.
Language: Dart - Size: 17.9 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 10 - Forks: 0
MMansy19/cdss-xray-app
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.
Language: TypeScript - Size: 22.3 MB - Last synced at: about 7 hours ago - Pushed at: 2 months ago - Stars: 9 - Forks: 1
Asvix-04/Medibot-AI
MediBot AI – Your not-so-human, never-on-vacation, slightly overqualified AI medical assistant. Built with Ollama + RAG for brainpower, Whisper to hear your complaints, and React to look good while doing it. Finds hospitals, books appointments, tracks your cholesterol like a judgmental auntie, and soon—might even talk back in your language.
Language: JavaScript - Size: 113 MB - Last synced at: about 11 hours ago - Pushed at: about 14 hours ago - Stars: 8 - Forks: 7
AbhaySingh71/AI-Powered-Healthcare-Intelligence-Network
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 .
Language: Jupyter Notebook - Size: 63.7 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 7 - Forks: 3
FGA-DIKU/EHR
A BERT-based framework for processing and analyzing Electronic Health Records (EHR) data. It provides an end-to-end pipeline for data preprocessing, model training, and clinical outcome prediction.
Language: Python - Size: 120 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 6 - Forks: 3
ParagGhatage/NeuroCure
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.
Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 0
csinva/clinical-rule-survey
Analyzing clinical decision instruments through the lens of data and large language models.
Size: 115 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 0
Asvix-04/Medibot-App
MediBot – The AI doctor that doesn’t sleep, judge, or ask “have you tried drinking water?” From decoding messy prescriptions to helping you find hospitals and book appointments, MediBot’s got you. Powered by cutting-edge AI and an unhealthy obsession with being helpful, it’s your 24/7 health wingman—minus the waiting room.
Language: TypeScript - Size: 497 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 4 - Forks: 1
sergio11/brain_tumor_classification_cnn
🧠 AI-Powered Brain Tumor Classification (PoC) 🚀 A personal project exploring the use of convolutional neural networks (CNNs) and transfer learning to classify brain tumors from MRI scans. Designed as a proof of concept for fast, automated, and accurate medical image diagnostics. 🌐⚡
Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0
hello395/sympcheck-helper
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.
Size: 1.95 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 1
abrahamnash/radical-health
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!
Size: 1.94 MB - Last synced at: 17 days ago - Pushed at: 17 days 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
spsingh37/3D_Liver_Tumor_segmentation
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.
Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0
PhysiologicAILab/mmrphys-live
Live Demo for Multi-task Remote Physiological Sensing using MMRPhys
Language: TypeScript - Size: 1.86 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 1
awesomelistsio/awesome-ai-healthcare
A curated list of tools, frameworks, applications, datasets, and resources for AI in Healthcare.
Language: Python - Size: 12.7 KB - Last synced at: 5 days ago - Pushed at: 28 days ago - Stars: 2 - Forks: 0
JComyn/Agentic-RAG-Diabetes-Assistant
This repository contains the development of my Final Degree Project titled "Multi-Agent System Based on RAG for Assistance in Diabetes Management." The goal of the project is to design and implement an AI multi-agent system that uses RAG to assist patients with diabetes.
Language: Python - Size: 706 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
PhysiologicAILab/iBVP-Dataset
iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels
Language: Python - Size: 559 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
THE-DEEPDAS/Medical-RAG-LLM
A comprehensive medical assistant bot that integrates Retrieval-Augmented Generation (RAG) for real-time analysis using locally deployed Large Language model (LLMs). The system provides detailed information about medicines, including their purpose, side effects, drug composition, key ingredients.
Language: HTML - Size: 101 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1
obinexus/pyobiai
Bayesian network framework for AI bias mitigation in healthcare diagnostics. Implements DAG-based structural causal modeling with MCMC inference to achieve 85% reduction in demographic disparities while maintaining 95% model accuracy.
Language: Python - Size: 11.4 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0
wbott/medical-assistant-bot
AI-powered medical assistant chatbot for symptom checking, disease prediction, severity analysis, and self-care guidance
Language: Python - Size: 350 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0
Anusha-me/Disease-x-Detection-ML-project
A machine learning classification system for early detection of Disease X based on patient symptoms using Python, Scikit-learn, and Streamlit.
Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
detsutut/orientamed
RAG-enhanced chatbot for GPs rheumatology triage
Language: Python - Size: 18.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
PhysiologicAILab/MMRPhys
Multi-Modal Multi-Task Remote Physiological Sensing
Language: Python - Size: 114 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
Saravanan9698/Mental_Health_Survey
A Standalone Depression Checking Application which analyzes user’s mental health by asking a series of highly curated psychiatric questions in AWS EC2 and Elastic BeanStalk
Language: Jupyter Notebook - Size: 11 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
QuantumCoderrr/PyCaret-BCDetection
🎗️ Breast Cancer Detection using PyCaret - a low-code machine learning pipeline. This project leverages automation and explainability to classify malignant and benign tumors from the Breast Cancer Wisconsin dataset. Built for simplicity, transparency, and clinical insight.
Language: HTML - Size: 885 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
Arittra-Bag/Dementia-Dreamscape
Early dementia detection web app using deep learning and MRI analysis
Language: TypeScript - Size: 1.57 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
NS027/medical_chatbot_project_genAI
Multimodal AI-powered medical assistant with LLMs, speech, and image understanding.
Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1
chiggi24/cs4442_final_project
A Flask-based web app for brain tumour classification from MRI scans using pre-trained deep learning models. Supports Glioma, Meningioma, Pituitary, and No Tumor detection with model selection and confidence scoring.
Language: Jupyter Notebook - Size: 89 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
ShaliniAnandaPhD/optimaq
implements OptimaQ, an AI-powered addiction prediction system using Q-learning reinforcement learning
Language: Python - Size: 572 KB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Jaden449/LifeExpectancyPrediction
Life Expectancy Prediction using Random Forest Regression Model for improving patient's health by giving them health photos
Language: HTML - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
asndiallo/MedAI-MultiDataset-Study
A collection of case studies exploring AI applications in healthcare, part of my Master's research at IPSSI Paris.
Language: Jupyter Notebook - Size: 8.73 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
taexj/Pneumonia_Detection_using_Transfer_Learning
Using deep learning to detect pneumonia from chest X-ray images
Language: Jupyter Notebook - Size: 52 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
jorgesandoval/heartbeat-classification-cnn
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.
Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
dna-witch/cell-culture-Agentic-RAG
A custom Agentic Retrieval-Augmented Generation (RAG) model that is an expert in cell culture techniques and knowledge.
Language: Python - Size: 849 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
ParthaPRay/diverticulitis_ollama_LLM
This repo presents codes that helps patients to get informed about diverticulitis from food meal image with help of Ollama and MedGemma with VLM in local setup
Language: Python - Size: 35.2 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
DanteTrb/DanteTrb.github.io
Personal AI portfolio and academic website | clinical ML, gait analysis, and explainable AI.
Language: CSS - Size: 1.03 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
Sanjai-Chippukutty/cfDNA-Lung-Cancer-ML
Integrative analysis of cfDNA methylation and miRNA expression for early lung cancer detection using machine learning.
Language: Jupyter Notebook - Size: 7.17 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
BryanDang/fine-tune-yolov8n-seg-wound
Clinical AI Education: Learn to build, debug, and deploy medical AI through a real wound segmentation case study
Size: 8.79 KB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
ryuzaki-ved/ckd_detection
This project focuses on predicting Chronic Kidney Disease (CKD) using neural networks. It involves comprehensive data preprocessing, exploratory data analysis, and model interpretability to provide a robust classification solution based on health records.
Language: Jupyter Notebook - Size: 57.3 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
Simmon-Gomi/OneCopyThinkerEBM
One‑page critical appraisal prompt for medical evidence (Japanese & English)
Size: 19.5 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
WashifAkhtar/Real-Time_EEG_Stress_Monitoring_and_Control
This repository contains a Real-Time Brain-Computer Interface (BCI) System for stress monitoring and control using EEG signals. It captures live brainwave data, detects stress levels using machine learning, and enables real-time responses for health, wellness, or interactive applications.
Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
ahsankhizar5/disease-diagnosis-prediction
A predictive healthcare model to detect early signs of diabetes or heart disease using medical datasets. The project features EDA, feature selection, model training (SVM, Gradient Boosting, Neural Networks), and insights for clinical decision-making.
Language: Jupyter Notebook - Size: 8.91 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
ZaherAlahrthi/Pneumonia-Prediction-AI
AI-based ensemble deep learning model to detect pneumonia from chest X-ray images using EfficientNet, ResNet, and MobileNet with SE blocks.
Language: Jupyter Notebook - Size: 854 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
AryaKoureshi/automated-pneumonia-diagnosis-efficientnet
A complete workflow for automated diagnosis of pneumonia from chest X‑ray images using the EfficientNet convolutional neural network architecture. The core is a Jupyter notebook that covers data loading, preprocessing, model training, evaluation, and visualization of results.
Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
AnandKumar56/stroke-prediction-deep-fusion
A hybrid deep learning-based web application that predicts ischemic stroke risk using CNN, LSTM, and CNN-LSTM models. Built with Django, REST APIs, and a simple HTML/CSS frontend.
Language: Jupyter Notebook - Size: 6.29 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0
humsm01/pneumonia-detection-cnn
Detecting pneumonia from chest X-rays using CNNs, TensorFlow, and Kaggle radiography data.
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
Dartayous/pneumonia-xray-classifier
CNN-powered X-ray pneumonia detection with Grad-CAM visualizations and misclassification heatmaps for medical AI insight.
Language: Python - Size: 2.86 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
gehad-Ahmed30/Graduation-Project-Medical-Chatbot Fork of Nour-Zayed/Graduation-Project-Medical-Chatbot
A smart AI chatbot that classifies user input as medical or non-medical, predicts diseases based on symptoms, and guides users to the appropriate medical specialty. Built using supervised learning (Naive Bayes, SVM) on medical and general datasets.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
TejaswinisGit/Diagnosis
Real-time Identification of Pneumonia from X-ray Images using Deep Learning
Language: Python - Size: 6.84 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
dhanraj-parigi/Diabetes_prediction_app
🩺 A simple and interactive web app that predicts diabetes using 🧠 machine learning. 🚀 Built with Python, Streamlit, and the 🧮 Pima Indians Diabetes dataset.
Language: Jupyter Notebook - Size: 787 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
samuelcampozano/neuro-risk-logic
A lightweight machine learning-based API that estimates the likelihood of neurodevelopmental conditions using demographic, clinical, and genetic risk factors—without needing explicit diagnosis labels. The system leverages expert logic and statistical modeling to simulate real-world predictions in resource-constrained scenarios.
Language: Python - Size: 553 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Mehrdadghassabi/Gaokerena-V
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model
Language: Jupyter Notebook - Size: 187 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Royfe02/careconnect-adk-hackathon
Proactive patient care with a multi-agent AI system using Google Cloud ADK and Vertex AI. Automate post-operative monitoring and coordination. 🤖💬
Language: Python - Size: 6.55 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
joyel124/PC3-ML
Implementación de un modelo de IA para predicción de diabetes, conectado a un robot NAO como interfaz interactiva.
Language: Python - Size: 726 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
alankritaaaa/Side-effect-prediction-ML
AI/ML project for predicting side effect risk score & recommending drug substitutions
Language: Python - Size: 16.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
bogicevic/careconnect-adk-hackathon
CareConnect: A multi-agent AI system for proactive patient care, built with the Google Cloud ADK and Vertex AI for the #ADKhackathon. A team of specialized AI agents that automates post-operative patient monitoring and care coordination. A multi-agent system using Google's ADK and A2A protocol to automate post-operative patient care.
Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
PSkinnerTech/gai-askleo
AI-powered medical writing assistant that helps healthcare professionals create accurate clinical documentation including SOAP notes, research papers, and EHR addendums with real-time grammar, spelling, and medical terminology suggestions.
Language: TypeScript - Size: 292 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
MohamedMoubarakHussein/Power-Of-Facial-Emotion-Recognition-Technology-In-Healthcare-For-The-Elderly
An advanced healthcare AI solution that leverages computer vision and deep learning to monitor elderly patients' emotional well-being in real-time. Built with Python, Flask, and MongoDB, featuring HOG feature extraction, CascadeClassifier face detection, and LSTM networks for accurate emotion classification and Includes comprehensive data analytics
Language: Python - Size: 43 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Asifr001/BreastScanNN-Deep-Learning-for-Cancer-Classification
A deep learning model built with TensorFlow to classify breast cancer as benign or malignant based on clinical features.
Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
shainamackin/nyc-hh_algorithmic-bias-mitigation
The code presented here is meant to accompany our Playbook, which illustrates our threshold adjustment methodology that can mitigate bias in EHR-based classification models. Our paper and the Playbook can be found in npj Digital Medicine at the link below:
Size: 6.73 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1
konkalaitzidis/cpr-ai
An ML-powered clinical pathway recommendation system that helps healthcare providers determine the most appropriate next procedure for patients based on their demographics and conditions. Built as part of the Applied AI in Healthcare course at Karolinska Institutet.
Language: Python - Size: 11.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
ajaynarayanan/DiagnoseThon
DiagnoseThon
Language: Python - Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1
MilniChandrasekara/GlaucoLens
GlaucoLens is a glaucoma detection system using image processing techniques, with a React.js frontend and a Python-trained model built in Jupyter Notebook.
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
nishithat-28/AI-Powered-Healthcare-Assistant
Conversational AI assistant for healthcare that leverages Google's Gemini models to create an intelligent healthcare assistant that can engage in natural dialogue, interpret symptoms, suggest possible diagnoses, and recommend next steps—all within seconds.
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Temela/Heart-Disease-Prediction
Predicting heart disease risk using interpretable machine learning (KNN) and human-centered analysis. Built for ethical, accessible healthcare innovation.
Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
meghana-choudhary/Medquery-assistant
Medquery-assistant is an intelligent medical chatbot that supports natural, context-aware conversations through a sleek web interface, featuring nested query handling, real-time responses, and a user-friendly design.
Language: Python - Size: 25.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
SuryaVamsi-P/Diabetic-Retinopathy-Detection-with-ResNet50
Built an end-to-end deep learning pipeline using ResNet-50 to classify retinal images into five stages of Diabetic Retinopathy. Applied transfer learning, image preprocessing, and AUC-based evaluation on the APTOS 2019 Kaggle dataset, achieving a 94% validation AUC—offering real-world potential in clinical diagnosis automation.
Language: Python - Size: 2.15 MB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
lokusdaik/PopcornLung-Classifier-Tensorflow-CNN
This repository contains a TensorFlow-based classifier that detects Popcorn Lung from chest X-ray images using a custom CNN. Explore the code and contribute to advancing medical imaging with ease! 🥳🌟
Language: Python - Size: 4.88 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
sindhu1807/smoking-detection-model
Smoking Detection is a machine learning-based web application built with Flask that predicts the probability of a person being a smoker using various body signal inputs. This project leverages data science techniques and predictive modeling to provide health-related insights through an easy-to-use interface.
Language: HTML - Size: 1.99 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
orroo/DEEP-NEPHRO
DEEP_NEPHRO is a university-led project focused on enhancing dialysis care through intelligent monitoring and optimization. By integrating machine learning and real-time data analysis, the project aims
Language: HTML - Size: 96.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
Aman-byte1/Skin-Disease-Classifier
የቆዳ ምስሎችን በሰለጠነ የDINOv2 ሞዴል በመጠቀም ሊኖሩ የሚችሉ የቆዳ በሽታዎችን የሚመድብ የStreamlit ድር መተግበሪያ። የህክምና ባለሙያዎችን የመጀመሪያ ደረጃ ግምገማ ላይ ለማገዝ ታስቦ የተሰራ።(A Streamlit web application for classifying potential skin diseases from images using a fine-tuned DINOv2 model. Designed to assist healthcare professionals in initial assessment.)
Language: Python - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
shreyakolluru/AIChatbot-Medical-Finetune
AI chatbot fine-tuned on the DeepSeek-R1 model for medical domain applications. Efficiently trained using LoRA and 4-bit quantization to provide accurate healthcare-related responses with reduced memory consumption.
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Asifr001/Predicting-Heart-Disease-with-Machine-Learning
Builds a predictive machine learning model to detect the likelihood of heart disease using clinical patient data with Python.
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obedantwi/Dementia-Dreamscape
Early dementia detection web app using deep learning and MRI analysis
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AkshayG999/voice-agents-workflow
This is an OpenAI Voice Agent system specifically designed for healthcare applications. The project implements a voice-based interactive system that processes spoken health-related questions and provides responses through both text and synthesized speech using OpenAI's voice technology.
Language: HTML - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: 3 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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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. 🚀
Language: Python - Size: 62.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
krish567366/automl_self_improvement
A next-gen toolkit for autonomous machine learning that automatically optimizes models using reinforcement learning, evolutionary algorithms, and generative AI. Combines meta-learning for cross-task adaptation, hybrid hyperparameter tuning, and secure MLOps to accelerate AI deployment.
Language: Python - Size: 10.7 KB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
GokulGowthamS/Mental-Health-Prediction
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
jcaperella29/Dicom_processing_flask_app
🏥 DICOM Flask App – AI-Powered Lesion Detection A Flask-based web app for uploading, processing, and analyzing DICOM medical images. Uses DeepLesion (Faster R-CNN) for lesion detection and ResNet50 for classification. Features a multi-tab UI with sidebar navigation. A sample DICOM file is included for testing!
Language: Python - Size: 1.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
AbhishekSinghDhadwal/Generating-T2-MRI-from-T1-Scans-Using-CycleGAN
CycleGAN-based model for generating T2-weighted MRI images from T1 scans to enhance diagnostic accuracy with unpaired datasets.
Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: 25 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
josephfedrick/database-migrations
Machine-learning,Artificial intelligence,https://roboticsinnovationtools.org
Language: Python - Size: 73.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
josephmars/COVID19_death_prediction
Shiny app to predict the risk of death by COVID-19 based on demographic data. Support Vector Machine (SVM) and XGBoost were used.
Language: R - Size: 1.53 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
mar-jk/health_analytics_platform
ai solutions for healthcare
Size: 1000 Bytes - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
mar-jk/health_analytics_dashboard
Size: 1000 Bytes - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
mikeerosss/health_analytics_tools
Language: JavaScript - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
AndreVale69/AD-ML-Imbalance-HPC
Machine learning models optimized for high-performance computing to address class imbalance in Alzheimer’s disease data.
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