Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract Background: Diabetic retinopathy (DR) is the leading cause of preventable blindness in working-age adults, yet scalable early detection is limited by the unreliability of AI-assisted screening. Multimodal large language models can interpret fundus photographs and support DR grading, but they frequently hallucinate - fabricating lesions or misclassifying referable DR - which directly threatens timely treatment and prevention of vision loss.
Translate this page into: ARTICLE IN PRESS doi: 10.25259/APOS_142_2024 , 1Department of Clinical Oral Health Sciences, IMU University, Bukit Jalil, Malaysia 2Department of Orthodontics, MAHSA University, Jenjarom, Malaysia. *Corresponding author: Chong Jun Ai, Clinical Oral Health Sciences, IMU University, 126, Jalan Jalil Perkasa 19, Bukit Jalil, 57000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
