Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Azam Salehzadeh"'
Autor:
Mahdi Shaeri, Nasser Shoeibi, Seyedeh Maryam Hosseini, Fatemeh Rangraze Jeddi, Razieh Farrahi, Ehsan Nabovati, Azam Salehzadeh
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-14 (2023)
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 emergenc
Externí odkaz:
https://doaj.org/article/5158306ef87c4cda8c56b411ebe67dee
Autor:
Azam salehzadeh, Mahdi Shaeri, Nasser Shoeibi, Seyede Maryam Hoseini, Fatemeh Rangraze Jeddi, Razieh Farrahi, Ehsan Nabovati
This study aimed to design, develop, and evaluate an intelligent decision support system for acute postoperative endophthalmitis. This study was conducted in 2020–2021 in three phases: analysis, design and development, and evaluation. The user need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79d417f0a96777f1cca8aed547f7714a
https://doi.org/10.21203/rs.3.rs-2256984/v1
https://doi.org/10.21203/rs.3.rs-2256984/v1
