Research progress of artificial intelligence in the diagnosis, treatment and prognosis of retinal detachment
10.3980/j.issn.1672-5123.2025.3.17
- VernacularTitle:人工智能在视网膜脱离诊治和预后中的研究进展
- Author:
Bingxing LU
1
,
2
;
Qianyin CHEN
1
,
2
;
Jinglin ZHANG
1
,
2
Author Information
1. Jinan University, Guangzhou 510632, Guangdong Province, China
2. Aier Eye Hospital, Jinan University, Guangzhou 510071, Guangdong Province, China
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
retinal detachment;
deep learning;
ultra wide-angle fundus image;
optical coherence tomography
- From:
International Eye Science
2025;25(3):434-439
- CountryChina
- Language:Chinese
-
Abstract:
The application of artificial intelligence(AI)in the medical field, particularly for predicting, diagnosing and treating retinal detachment(RD), has made remarkable achievements. This paper reviews the advancements in AI applications for RD across multiple dimensions, including predicting RD incidence, assessing surgical success rates, forecasting postoperative visual outcomes, and evaluating recurrence rates. In diagnostic support, AI technology has demonstrated significant value, especially in ophthalmic imaging, with applications in the intelligent analysis of ultra-wide-angle fundus photography, optical coherence tomography(OCT), ophthalmologic ultrasound images, and AI chatbots models. Furthermore, AI has proven uniquely beneficial in surgical decision-making, robotic-assisted surgical systems, and the assessment of surgical complications. This paper provides a comprehensive overview of the current state of AI applications in RD, underscoring its potential to address numerous challenges in clinical practice. It also explores existing limitations and offers insights into future directions for development in this field.
