An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application.

ABSTRACT:

Background

Today, clinical decision support systems based on artificial intelligence can significantly help physicians in the correct diagnosis and quick rapid treatment of endophthalmitis as the most important cause of blindness in emergency diseases. This study aimed to design, develop, and evaluate an intelligent decision support system for acute postoperative endophthalmitis.

Methods

This study was conducted in 2020-2021 in three phases: analysis, design and development, and evaluation. The user needs and the features of the system were identified through interviews with end users. Data were analyzed using thematic analysis. The list of clinical signs of acute postoperative endophthalmitis was provided to ophthalmologists for prioritization. 4 algorithms support vector m

SUBMITTER: Shaeri M 

PROVIDER: S-EPMC10362640 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature