An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General Practitioners

An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General Practitioners

The aim of this study is to develop an AI model that accurately identifies referable blepharoptosis automatically and to compare the AI model’s performance to a group of non-ophthalmic physicians. In total, 1000 retrospective single-eye images from tertiary oculoplastic clinics were labeled by three...

Full description

Bibliographic Details
Main Authors: Ju-Yi Hung, Ke-Wei Chen, Chandrashan Perera, Hsu-Kuang Chiu, Cherng-Ru Hsu, David Myung, An-Chun Luo, Chiou-Shann Fuh, Shu-Lang Liao, Andrea Lora Kossler
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Journal of Personalized Medicine
Subjects:
artificial intelligence
blepharoptosis
general practitioners
computer-aided diagnosis (CAD)
Online Access:https://www.mdpi.com/2075-4426/12/2/283

Internet

https://www.mdpi.com/2075-4426/12/2/283

Similar Items