Advances and prospects of multi-modal ophthalmic artificial intelligence based on deep learning: a review.

ABSTRACT:

Background

In recent years, ophthalmology has emerged as a new frontier in medical artificial intelligence (AI) with multi-modal AI in ophthalmology garnering significant attention across interdisciplinary research. This integration of various types and data models holds paramount importance as it enables the provision of detailed and precise information for diagnosing eye and vision diseases. By leveraging multi-modal ophthalmology AI techniques, clinicians can enhance the accuracy and efficiency of diagnoses, and thus reduce the risks associated with misdiagnosis and oversight while also enabling more precise management of eye and vision health. However, the widespread adoption of multi-modal ophthalmology poses significant challenges.

Main text

In this review, we first su

SUBMITTER: Wang S 

PROVIDER: S-EPMC11443922 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature