AI-Enhanced CT Scans May Detect Diabetes During Routine Exams

A new study suggests an opportunistic screening method could provide early diagnosis of diabetes and related health issues.

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With more than 1.2 million new Type 2 diabetes cases diagnosed annually in the United States, early detection is crucial. New research on Tuesday suggests that artificial intelligence (AI)-enhanced computed tomography (CT) scans could revolutionize diabetes screening by utilizing incidental data from routine scans taken for other medical reasons. Imagine getting screened for diabetes during a CT scan intended for an entirely different health issue.

This opportunistic screening method could provide early diagnosis of diabetes and related health issues, potentially transforming routine health check-ups. However, experts caution that implementing this technology could present significant challenges and downsides.

About the Study

The study aimed to determine if existing CT scans could be used to gather valuable health information without requiring additional tests. Researchers focused on markers such as visceral and subcutaneous fat, muscle mass, and liver fat content.