telemedicine
There are 7 repositories under telemedicine topic.
- ottehrLanguage:TypeScript 95
opensource-emr / Telemedicine
This is a free open source telemedicine project which helps doctors and patients connect via video call.
Language:CSS 80Intelehealth / intelehealth-fhw-mobileapp
Intelehealth's FHWs Mobile App
Language:Java 31- boldo-mobile
iHub-PTI / boldo-mobile
Flutter based mobile application (iOS and Android) for Boldo (Patients).
Language:Dart 22 - eConsult
covid19india / eConsult
A Free Online Medium for Citizens to consult with Volunteering Doctors.
Language:CSS 19 mazhar11-cou / Telemedicine-smart-Doctor
Telemedicne Smart Doctor Diagonose a patient by Machine Learning services by AWS. It take Data from differnt madical organization and Store madical information. In serious condition targets to remind and refer patients to the real doctor. The real doctor diagnostic results can help the system learns and improves the diagnostic accuracy with AWS Machine Learning. It will save money time and strenth of a people. At last we say, Telemadicine Smart Doctor make the world more safe.
Language:JavaScript 14- Language:Java 12
doktornarabote / telemedicine-api
API для Платформы Телемедицины
knowledge-ukraine / medlocalgpt
⚕️ Applying LLM-powered Personal AI Assistant to Enhance Support for Physical Rehabilitation & Telerehabilitation Therapists, Students, and Patients. Ask your (medical EBSCO) dataset using LLMs and Embeddings. Optionally you can use local LLMs (Vicuna, Orca-mini, Falcon, etc.), OpenAI GPT models or other SaaS solutions via LangChain.
Language:Python 10pparth27743 / telemedicine_devops
Our project idea was to design a system where doctors can meet/consult patients remotely over a video/audio call. As we know there are many already available solutions where doctors and patients can consult over a video call. We also used DevOps tools to automate development to deployment.
Language:TypeScript 10Elsa-Health / react-native-telehealth
[EXPERIMENTAL]: A video conferencing tool powered by Elsa's AI allowing you to easily support remote telemedicine services for youre health practice and/or hospital.
Language:TypeScript 9- Language:JavaScript 9
- boldo-webLanguage:TypeScript 8
- iOS_MultiCamera_Conferencing
mpokane / iOS_MultiCamera_Conferencing
This Proof of Concept app written in Swift and built on the Vonage Video api (aka OpenTok) enables Multi-Camera video streaming To and From each participant’s iOS 13 device and secure conferencing via SRTP. It streams the front-facing and rear-facing cameras simultaneously. The app was conceived to leverage low latency & fat pipes on 5G networks.
Language:Swift 8 No-Country / C13-41-FT-NODE-REACT
Somos un gestor de telemedicina. Nuestra misiĂłn es conectar profesionales de la salud con pacientes que requieran de sus servicios de una manera amigable, comoda y accesible.
Language:JavaScript 8java-embedded-challenge / heart-of-glass
Heart Beat Monitor
Language:CSS 7pfftdammitchris / react-icd10
Search the International Classification of Diseases (ICD10) table
Language:JavaScript 7Phirat-Passi / Synapse-AI-Pulse-Oximeter
Synapse’s second feature involves a smart, automated Pulse Oximeter that accurately and remotely measures heart rate (HR) and blood oxygen saturation (Spo2 level) of patients. This feature is really important because it helps patients prevent blood clots, sudden cardiac arrests, and heart failure. The Pulse Oximeter utilizes camera sensors embedded into all smartphones as well as with photoplethysmography (PPG) biosensors that accurately measure heart rate (HR) and blood oxygen saturation (Spo2 level) of patients. As a patient places their index finger over the rear camera sensor system, the PPG sensor measures the distension of arteries and arterioles in the subcutaneous tissue (thanks to blood flow from each cardiac cycle). As blood flows through the vessels, the pulse pressure is detected by illuminating the skin with the light from two inorganic light-emitting diodes-OLED (embedded in a majority of camera sensors). The amount of light transmitted, absorbed, or reflected to a photodiode is measured and processed by Synapse’s AI, which contains an algorithm that detects and interprets the PPG signal to determine HR and Spo2 values. Finally, additional AI framework within the app then accesses and displays individual biosensor readings on the Smartphone screen.
Language:C++ 7- VirtualClinicLanguage:SCSS 7
anupammallick88 / OneTelemedicine
An One Telemedicine system is a technological solution designed to monitor and manage the health and well-being of patients from a distance.
Language:JavaScript 6- Language:TypeScript 5
gouthamp174 / Medicus
Medicus is a tele-medicine website developed using MongoDB, Express.js back-end and React front-end. (MERN stack).
Language:JavaScript 4- Language:TypeScript 4
- Language:Java 4
techdoer / ostlog
ostlog is a self-tracking tool that motivates individual care, health and well-being.
Language:TSQL 4e-Med-Tech / e-med-help
This is a web application created as a final team project for the Coding Bootcamp part-time Java stream class.
Language:Java 3eccentrics7 / MedEase-The-online-Telemedicine-Solution
MedEase is a comprehensive telemedicine website designed to provide patients with convenient access to quality healthcare services from the comfort of their homes.
hiranyagarbh / RemoteTwin
A telemedicine web app for IICDC 2019, implemented with Django and MySQL at the back-end and hosted onto AWS services, to offer a remote patient monitoring platform for physicians, hospitals and other healthcare services.
Language:HTML 3- Language:HTML 3
stassribnyi / telemedicine
SPA made using The ASP.NET Web API + AngularJS while doing my bachelor diploma project.
Language:JavaScript 3dominique-boerner / mukosoft-app
MukoSoft - an app, designed for people suffering from cystic fibrosis
Language:HTML 2- Language:Python 2
- ihub-docsLanguage:TypeScript 2
reachvivek / doctomist.com
Landing page of Doctomist.com
Language:JavaScript 2- Language:HTML 2
- HealthVisor_App
Rohit-K814307 / HealthVisor_App
This Repository contains the source code for the HealthVisor Application. More information about it is provided in the README file.
Language:Jupyter Notebook 2
