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This paper is in the following e-collection/theme issue:

Artificial Intelligence in Diabetes Care and Prevention (103) Clinical Information and Decision Making (3544) Quality/Credibility of eHealth Information and Trust Issues (925) Diabetes Education and Elearning for Patients (201) Artificial Intelligence (4549)

Published on in Vol 11 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93822, first published .
Scientist in lab coat uses tablet, with microscope and computer screen in background.

Assessing Quality, Readability, and Transparency of Online and AI-Generated Information on Type 2 Diabetes Mellitus: Cross-Sectional Exploratory Study

Assessing Quality, Readability, and Transparency of Online and AI-Generated Information on Type 2 Diabetes Mellitus: Cross-Sectional Exploratory Study

Authors of this article:

Sripradha Srinivasan1 Author Orcid Image ;   Ravanth Baskaran1, 2 Author Orcid Image ;   Srinjay Mukhopadhyay3, 4 Author Orcid Image ;   Mayank Patel1 Author Orcid Image
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