We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images.
- Authors
Li, Huimin; Cao, Jing; Grzybowski, Andrzej; Jin, Kai; Lou, Lixia; Ye, Juan
- Abstract
The advent of artificial intelligence (AI), especially the state-of-the-art deep learning frameworks, has begun a silent revolution in all medical subfields, including ophthalmology. Due to their specific microvascular and neural structures, the eyes are anatomically associated with the rest of the body. Hence, ocular image-based AI technology may be a useful alternative or additional screening strategy for systemic diseases, especially where resources are scarce. This review summarizes the current applications of AI related to the prediction of systemic diseases from multimodal ocular images, including cardiovascular diseases, dementia, chronic kidney diseases, and anemia. Finally, we also discuss the current predicaments and future directions of these applications.
- Subjects
AUTOIMMUNE disease diagnosis; ONLINE information services; MEDICAL information storage &; retrieval systems; SYSTEMATIC reviews; ARTIFICIAL intelligence; DIAGNOSTIC imaging; OPTICAL coherence tomography; RESEARCH funding; MEDLINE; ALGORITHMS
- Publication
Healthcare (2227-9032), 2023, Vol 11, Issue 12, p1739
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare11121739