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June 28, 2026CureusOpen Access

Diagnostic Accuracy of ChatGPT Model 5.1 in the Optical Characterization of Colorectal Lesions

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Authors

AOAlejandro Osorio-EuanKGKatia Lopez GarciaYEYoeli M Escandón Espinoza

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Overview

Retrospective diagnostic accuracy study evaluates ChatGPT 5.1's performance in identifying colorectal lesions, suggesting potential clinical use.

Key Points

  • This study aims to assess the diagnostic accuracy of ChatGPT model 5.1 in distinguishing adenomatous from non-adenomatous colorectal lesions during colonoscopy.
  • Retrospective analysis of 93 colorectal lesions from colonoscopy
  • Optical lesion descriptions analyzed by ChatGPT 5.1
  • Histopathology served as the reference standard for evaluation.
  • Sensitivity was 97.1%, specificity was 79.3%, overall accuracy was 86.0%
  • ChatGPT correctly identified 34 adenomas and misclassified one (false negative)
  • 12 non-adenomatous lesions were incorrectly classified as adenomatous (false positives).

Cite This Study

Osorio-Euan et al. (2026) studied this question.

synapsesocial.com/papers/6a40bae361bb0a67205c6a9fhttps://doi.org/10.7759/cureus.111518
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