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AI medical scan tool struggles with left-right errors, developer implements fix

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.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI medical scan tool struggles with left-right errors, developer implements fix

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33 / 100
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Newsworthiness bucket
Tool
Developer implements a fix for a specific flaw in an AI tool for medical image interpretation.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · LG DESIGN ·

    My MRI interpretation vision model pointed at the right kidney and wrote "left"

    <p>I build a tool that reads MRI and CT scans with general vision models and explains the findings in plain language. The most repeated error in that pipeline isn't a missed tumour or an invented measurement. It's <strong>left and right</strong>.</p> <p>We ran eight real studies …