Background/objectives: To date, no studies have evaluated Chat Generative Pre-Trained Transformer (ChatGPT) as a large language model chatbot in optical applications for digestive endoscopy images. This study aimed to weigh the performance of ChatGPT-4 in assessing bowel preparation (BP) quality for colonoscopy.
Methods: ChatGPT-4 analysed 663 anonymised endoscopic images, scoring each according to the Boston BP scale (BBPS). Expert physicians scored the same images subsequently.
Results: ChatGPT-4 deemed 369 frames (62.9%) to be adequately prepared (i.e., BBPS > 1) compared to 524 frames (89.3%) assessed by human assessors. The agreement was slight (κ: 0.099, = 0.0001). The raw human BBPS score was higher at 3 (2-3) than that of ChatGPT-4 at 2 (1-3), demonstrating moderate concordance (W: 0.554, = 0.036).
Conclusions: ChatGPT-4 demonstrates some potential in assessing BP on colonoscopy images, but further refinement is still needed.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11593257 | PMC |
| http://dx.doi.org/10.3390/diagnostics14222537 | DOI Listing |
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