#Healthcare
Showing 60 of 85 repositories tagged #healthcare, ranked by stars
Free and Open Source Enterprise Resource Planning (ERP)
Reading list for research topics in multimodal machine learning
Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 1,000+ medical models, 12 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0
Medplum is a healthcare platform that helps you quickly develop high-quality compliant applications.
A Deep Learning Python Toolkit for Healthcare Applications.
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
ESB, SOA, REST, APIs and Cloud Integrations in Python
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Metriport is an open-source universal API for healthcare data.
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning
Medical Q&A with Deep Language Models
Helthcare app built in flutter
A curated list of ML|NLP resources for healthcare.
Machine Learning and Artificial Intelligence for Medicine.
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).
Modular, Production-Ready, Open-Source EHR
hGraph is an open source javascript library for visualizing health data.
Firely and Incendi's open source FHIR server
This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.
CardIO is a library for data science research of heart signals
A sophisticated smart symptom search engine
MNE-CPP: The C++ framework for real-time functional brain imaging.
SciBlend: Advanced Data Visualization Workflows within Blender.
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
Medical insurance claiming DApp which uses a Multi-Sig approach to grant claim (ConsenSys project)
Daily updated resources on AI across various domains including ML, development, education, healthcare, real estate, robotics, crypto, web3 and more, curated by enthusiasts.
OrganEase is a dynamic and user-friendly website designed to simplify the process of organ donation management. Built using the MERN stack, which comprises MongoDB, Express, React, and Node.js, this platform allows organ donors and recipients to connect with ease. Hackathon winning project.
Virtual Clinic - An Integrated Care System
ICD-10 CM medical classification list by the World Health Organization
This is a web demo for camera-based PPG sensing (rPPG).
A toolkit for evaluating and monitoring AI models in clinical settings
The RAP community of practice includes all analysts and data scientists who are interested in adopting the working practices included in reproducible analytical pipelines (RAP) at NHS Digital.
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
Social Determinants of Health Visualization
A collaborative learning framework for empowering biomedical research
🏆 World Runner-Up project of International Flutter Hackthon 2020. "Donate Plasma" is a prototype apps built with flutter for the purpose of connecting COVID-19 patients and the patients recently recovered from COVID-19 willing to donate their plasma for effective treatment. In this application, plasma donors will also be able to share their story of fighting COVID-19 to motive others staying strong mentally.
The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
FHIR-PYrate is a package that provides a high-level API to query FHIR Servers for bundles of resources and return the structured information as pandas DataFrames. It can also be used to filter resources using RegEx and SpaCy and download DICOM studies and series.
Generative AI Pharmacist (For Demo Purposes Only)
Artificial Intelligence Library — a meticulously curated library featuring over 320 top-tier AI platforms across 16 distinct categories.
Project to understand pharmaceutical spending, currently focused on US government programs.
A curated list of awesome resources at the intersection of healthcare and AI
✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
Healthcare Payments implemented on a HyperLedger Fabric 1.4 private, permission blockchain that uses Convector and HL7 FHIRv4
Open-source health library & article management platform | React Native + Node.js + MongoDB | Trusted wellness content, AI chat & podcasts | Live: uhsocial.in | Android App on Play Store
FHIR Core / OpenSRP 2 is a Kotlin application for delivering offline-capable, mobile-first healthcare project implementations from local community to national and international scale using FHIR and WHO Smart Guidelines on Android.
A Electronic Health Records system on hyperledger fabric maintained by consortium of hospitals for patients.
Open-source, patient-controlled health record app with on-device AI. Aggregates medical data from 52K+ providers via FHIR R4. Offline-first. Flutter.
MRI analysis using PyTorch and MedicalTorch
Kotlin FHIR is a lean and fast implementation of the HL7® FHIR® data model on Kotlin Multiplatform.
Healthcare RAG agent with Neo4j knowledge graphs - Query medical data using LangChain, FastAPI & Streamlit
Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.
This repo collects the open-source work of the Analytics Service within NHS Digital Data Services
Snolytical - Health Data Analytics Demonstrator
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings