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ScanContext is a free, local-first medical image and report viewer developed by Nikola Reljin and designed for Windows, macOS, and Linux. Falling into the medical and health software category, the application is intended to help users view DICOM images, parse radiology reports, annotate findings, and prepare questions for their doctor. Its defining characteristic is its local-first architecture: all data stays on the user's own computer, which distinguishes it from cloud-based medical imaging tools and addresses privacy concerns common in personal health data management. The software includes optional AI assistance, positioning it as an accessible tool for patients and individuals who want to better understand their medical imaging and radiology results without uploading sensitive information to external servers. Typical use cases include opening and examining DICOM-format scans received from imaging centers, reading and interpreting radiology reports, marking or annotating regions of interest in images, and organizing notes or questions ahead of medical appointments. The publisher explicitly notes that ScanContext is not a medical device, making clear that it serves as a personal viewing and organizational aid rather than a diagnostic or clinical decision-making instrument. The current release is version 1.3.3, and the catalog records a total of twelve published versions, indicating ongoing development and iterative refinement of the application since its initial release. Its cross-platform availability across the three major desktop operating systems makes it broadly accessible regardless of the user's preferred computing environment. By combining DICOM image viewing, report parsing, annotation capabilities, and optional AI-assisted features in a single free package with a privacy-preserving local-first design, ScanContext offers a practical solution for individuals seeking to engage more actively with their own medical imaging records while keeping full control over where their health data resides.
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