Deep Learning Model and its Application for the Diagnosis of Exudative Pharyngitis

CONCLUSIONS: We trained a deep learning model based on EfficientNetB0 that can diagnose exudative pharyngitis. Our model was able to achieve the highest accuracy, at 95.5%, out of all previous studies that used machine learning for the diagnosis of exudative pharyngitis. We have deployed the model on a web application that can be used to augment the doctor's diagnosis of exudative pharyngitis.PMID:38359848 | PMC:PMC10879828 | DOI:10.4258/hir.2024.30.1.42

Source: Healthcare Informatics Research - February 15, 2024 Category: Information Technology Authors: Seo Yi Chng Paul Jie Wen Tern Matthew Rui Xian Kan Lionel Tim-Ee Cheng Source Type: research