Novel Diagnostic Approach for Acute Pharyngitis: Combining Machine Learning With Thermal Imaging

• DOI: 10.1002/jbio.202400219
• Publication Date: 2024-10-14T02:53:28Z
• Authors: Oshrit Hoffer; Moriya Cohen; Maya Gerstein; Vered Shkalim Zemer; Yael Reichenberg; Dima Bykhovsky; Moshe Hoshen; Herman Avner Cohen
• Keywords: Sore throat; Acute Pharyngitis; Throat

ABSTRACT We evaluated the effect of infrared thermography (IRT) on clinical assessment bacterial and viral pharyngitis its impact predictive value McIsaac score algorithm for streptococcal in children. also investigated if IRT could distinguish between pharyngitis. The study included children aged 2–17 years presenting with sore throat fever over 38°C from November 1, 2021, to April 30, 2022. Of 76 assessed children, 16 were excluded due missing data or technical issues, leaving 60 (32 males, 28 females) divided into three groups: Group A ( N = 30), 16), healthy controls 14). imaging showed a 90% positive While alone not infections, it significantly increased when combined score.