Researchcomputer visionmedical imagingendocrinology
Researchers Train AI To Detect Acromegaly
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7.2
Kobe University researchers report in the Journal of Clinical Endocrinology and Metabolism (2026) that an AI model trained on more than 11,000 back-of-hand and clenched-fist photos from 725 Japanese participants can detect acromegaly. The model achieved a positive predictive value of 0.88 and negative predictive value of 0.93, outperforming endocrinologists on the same images, and could speed screening pending broader validation.
Scoring Rationale
Peer-reviewed clinical study demonstrates strong diagnostic accuracy, limited by single-country cohort and need for larger, diverse validation.
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