Artificial Intelligence-Enabled Low-Cost Photorefraction for Accurate Refractive Error Measurement Under Complex Ambient Lighting Conditions: A Model Development and Validation Study DOI
Yi Zheng, Yan Huang, Qilin Sun

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Application of artificial intelligence in myopia prevention and control DOI Creative Commons
Nan Liu, Li Li, Jifeng Yu

и другие.

Pediatric Investigation, Год журнала: 2025, Номер unknown

Опубликована: Март 18, 2025

ABSTRACT The global incidence of myopia is increasing, and high increases the risk pathological myopia, which can lead to irreversible visual impairment, posing a significant health concern. Artificial intelligence (AI) may be solution pandemic, with potential applications in early identification, stratification, progression prediction, timely intervention address unmet needs. AI has been developed detect, diagnose, predict both children adults. In this review, current state technology field comprehensively reviewed, challenges, development status, future directions have also discussed, hold great significance for further application management.

Язык: Английский

Процитировано

0

EffiViT: Hybrid CNN-Transformer for Retinal Imaging DOI

Rajatha,

D. V. Ashoka

Computers in Biology and Medicine, Год журнала: 2025, Номер 191, С. 110164 - 110164

Опубликована: Апрель 17, 2025

Язык: Английский

Процитировано

0

Repeated game theory kernel for support vector machine DOI
Mohammad Amin Mirzaei, Maryam Amiri, Mohammad Hossein Shakoor

и другие.

International Journal of Information Technology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 21, 2025

Язык: Английский

Процитировано

0

A protocol to quantify cross-sectional and longitudinal differences in duction patterns DOI Creative Commons

Kevin T. Willeford,

Victoria Copel,

Rong Hua

и другие.

Frontiers in Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Июнь 11, 2024

Currently, there is no established system for quantifying patterns of ocular ductions. This poses challenges in tracking the onset and evolution motility disorders, as current clinical methodologies rely on subjective observations individual movements. We propose a protocol that integrates image processing, statistical framework summary indices, criteria evaluating both cross-sectional longitudinal differences ductions to address this methodological gap. demonstrate our reliably transforms objective estimates rotations into normative total movement area symmetry. critical step towards application which could first diagnose then track progression resolution disorders over time.

Язык: Английский

Процитировано

0

Artificial intelligence-assisted fitting method using corneal topography outcomes enhances success rate in orthokeratology lens fitting DOI

Xueyi Zhou,

Li Zeng, Yang Shen

и другие.

Contact Lens and Anterior Eye, Год журнала: 2024, Номер unknown, С. 102350 - 102350

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0

Artificial Intelligence-Enabled Low-Cost Photorefraction for Accurate Refractive Error Measurement Under Complex Ambient Lighting Conditions: A Model Development and Validation Study DOI
Yi Zheng, Yan Huang, Qilin Sun

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0