Advocating the potential of AI for syndrome discovery: a scoping review

Ana Paula Gomes Ferreira, Alexander Ullrich, Aleksandar Anžel, Georges Hattab

Published: 01 Jan 2029, Last Modified: 13 Jan 2026OSF RegistriesEveryoneRevisionsCC BY-SA 4.0
Abstract: This protocol describes a scoping review to map the landscape of artificial intelligence (AI) applications in syndrome discovery. Specifically, we aim to identify: 1. What AI techniques (e.g., natural language processing, machine learning, deep learning) have been used to detect or characterize syndromes (in the context of Syndromic Surveillance Systems); 2. which clinical data sources (e.g., EHR text, emergency departments data, primary care data) are leveraged.