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

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, a...

Full description

Bibliographic Details
Main Authors: Mahdi Shaeri, Nasser Shoeibi, Seyedeh Maryam Hosseini, Fatemeh Rangraze Jeddi, Razieh Farrahi, Ehsan Nabovati, Azam Salehzadeh
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Eye disease
Endophthalmitis
Clinical decision support
Mobile application
Artificial intelligence
User-centered design
Online Access:https://doi.org/10.1186/s12911-023-02214-3

Internet

https://doi.org/10.1186/s12911-023-02214-3

Similar Items