User uses Claude Code to analyze their own raw MRI data
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The author speckx fed 164 DICOM images of their personal right-foot MRI to Claude Code (Opus 4.8, reasoning High), using only a single CLAUDE.md prompt, and after about 45 minutes received a PDF analysis report with annotated images. The author says this report is far more detailed than the one provided by their healthcare provider. The prompt required Claude to ask before installing any tools or additional skills, and not to look at data outside the working folder. The above results come from the author's own account and have not been independently verified; whether this approach can be used for other imaging or replace medical reports is not addressed in the report.
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- Hacker News AII asked AI (Claude Opus 4.8) to review my MRI
A blogger with right foot pain pointed Claude Code (Opus 4.8, high reasoning) at a folder of 164 DICOM MRI images and a prompt asking for an independent, gold-standard PDF analysis with annotated images for both experts and laypeople. Over about 45 minutes Claude installed Python imaging and PDF packages, read DICOM metadata, rendered and annotated key slices, corrected misplaced arrows using coordinate grids, and generated a 272-line reportlab script for a ten-page report, which it then checked by converting the PDF pages to images. The resulting report largely concurred with the medical provider's findings but was more thorough and included annotated images the provider's report lacked.
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- 10Nov 5 04:00
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