GPU Optimized version of AI Radiologist
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charita…
[IJHCS] UTA7: a dataset of clinicians' demographic results from our user studies.
👀 Tobii Eye Tracker 4C Setup
AiAi code-charity project for Cancer and Tuberculosis screening in Radiology Chest X-Rays (PA - CXR) using Deep Learning powered CAD algorithms. Come join our all-volunteer team to improve the healthcare in emerging nations!
We introduce a DICOM image tracking and eye-tracking system for radiologists based on ClearCanvas project.
A curated list of awesome resources, papers, datasets, and tools related to AI in radiology. This repository aims to provide a comprehensive collection of materials to facilitate research, learning, and development in the field of AI-powered radiology.
MammoAI is a web application built with Django, designed to assist radiologists in predicting and assessing breast cancer from mammogram images. It utilizes advanced machine learning models to determine whether an image is benign or malignant, and generates a heatmap to highlight the affected areas
MedRay v2 is research, education, and prototyping software. It is not a medical device, diagnostic system, PACS, RIS, or emergency-triage tool. AI output may be incomplete, incorrect, or misleading and must be independently reviewed by a qualified clinician.
For radiologists dictating in PowerScribe 360: QMK firmware that puts PowerMic buttons on your own keyboard or macro pad. The board appears as a PowerMic II, so no add-on is needed. Unofficial; not affiliated with Nuance or Microsoft.
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