A developer built a tool to interpret medical scans using large language models like Claude, Gemini, and Grok, but discovered a critical flaw: the models frequently confused left and right sides of the patient. This error, termed a "never event" in medicine, occurred even when the models correctly identified the location of findings in image coordinates. The issue stems from models trained on general image data, which describe visual orientation (left of the screen) rather than anatomical orientation (patient's right). A model-free check, leveraging the NIfTI file's world-space coordinates, has been implemented to catch these side-swapping errors. AI
IMPACT Highlights critical limitations in LLM spatial reasoning for specialized applications like medical diagnostics.
RANK_REASON Developer implements a fix for a specific flaw in an AI tool for medical image interpretation.
- Claude
- computed tomography
- Digital Imaging and Communications in Medicine
- Gemini
- Grok
- magnetic resonance imaging
- MedGemma
- Neuroimaging Informatics Technology Initiative
- Reliability Oriented Metric For Automatic Speech Recognition
- WebAssembly
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →