From DEXA Data to Patient Action: AI-Assisted Body Composition Reporting in Bariatric Care

First-author study of AI-assisted body-composition reporting in bariatric care: turning raw DEXA scan data into personalized, clinically guardrailed patient reports, and what that changes about patient understanding and follow-up.

The study covers a retrospective dataset of 9,091 scans from 2,709 patients at an independent practice. (This is a research dataset, distinct from the patient population of the production reporting platform I operate.)

Status: presented at the 7th International Bariatric Club World Congress, University of Oxford, September 2026. The abstract is to appear in a British Journal of Surgery congress supplement.

Recommended citation: Sharma, P. "From DEXA Data to Patient Action: AI-Assisted Body Composition Reporting in Bariatric Care." Presented at the 7th International Bariatric Club World Congress, University of Oxford, September 2026. Abstract to appear in a British Journal of Surgery congress supplement.