A case-based learning and self-assessment tool for the Orthanc ecosystem for medical imaging

Structured reporting platform for radiologists

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!

Structured reporting platform for radiologists. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000115

🫀 SCMR 2026 Open Source Innovation Submission. MIRACLE is an open-source API that provides evidence-based reference values for cardiovascular magnetic resonance (CMR) measurements. It standardizes the interpretation of CMR studies by offering instant access to peer-reviewed normal ranges across multiple clinical domains.

Static website for the UCSF Body Imaging Research group

AI-Assisted Structured Reporting System for Radiology. Includes AI chatbot, NLP entity extraction, structured templates, and automated standardized report generation.

Demo how to dump the content of a DICOMDIR file in a browser

Demo how to load or read a large ZIP file and to list the embedded folders in a browser

Visor web de imagenes DICOM con analisis radiologico asistido por IA (Claude Sonnet 4). Abre el ZIP de la consulta, visualiza radiografias y obtiene un informe orientativo.

Browser-based DICOM medical imaging viewer — React, Vite, Tailwind, AI diagnostic with Claude Sonnet 4.5

Professional medical imaging viewer for DICOM files. Built with Python FastAPI backend and React/Cornerstone.js frontend. Features multi-series navigation, window/level controls, and intuitive UI for legal and medical professionals.

A privacy-preserving AI system for secure radiology case retrieval and diagnostic support using CyborgDB encrypted vector search

Web-based DICOM uploader with chunked/resumable uploads, validation, and automatic forwarding to Orthanc PACS.