Artificial intelligence for diabetic retinopathy / 中华医学杂志(英文版)
Chinese Medical Journal
;
(24): 253-260, 2021.
Article
in English
| WPRIM
| ID: wpr-921267
ABSTRACT
Diabetic retinopathy (DR) is an important cause of blindness globally, and its prevalence is increasing. Early detection and intervention can help change the outcomes of the disease. The rapid development of artificial intelligence (AI) in recent years has led to new possibilities for the screening and diagnosis of DR. An AI-based diagnostic system for the detection of DR has significant advantages, such as high efficiency, high accuracy, and lower demand for human resources. At the same time, there are shortcomings, such as the lack of standards for development and evaluation and the limited scope of application. This article demonstrates the current applications of AI in the field of DR, existing problems, and possible future development directions.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Artificial Intelligence
/
Mass Screening
/
Blindness
/
Diabetes Mellitus
/
Diabetic Retinopathy
Type of study:
Practice guideline
/
Prognostic study
/
Screening study
Limits:
Humans
Language:
English
Journal:
Chinese Medical Journal
Year:
2021
Type:
Article
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