Diagnostic performance of deep learning in infectious keratitis: a systematic review and meta-analysis protocol.

ABSTRACT:

Introduction

Infectious keratitis (IK) represents the fifth-leading cause of blindness worldwide. A delay in diagnosis is often a major factor in progression to irreversible visual impairment and/or blindness from IK. The diagnostic challenge is further compounded by low microbiological culture yield, long turnaround time, poorly differentiated clinical features and polymicrobial infections. In recent years, deep learning (DL), a subfield of artificial intelligence, has rapidly emerged as a promising tool in assisting automated medical diagnosis, clinical triage and decision-making, and improving workflow efficiency in healthcare services. Recent studies have demonstrated the potential of using DL in assisting the diagnosis of IK, though the accuracy remains to be elucidated. This

SUBMITTER: Ong ZZ 

PROVIDER: S-EPMC10173987 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature