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

A C P Ferreira, Aleksandar Anžel, Alexander Ullrich, Georges Hattab
July 7, 2026
Published Date

Research Abstract & Technology Focus

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.

Correlated Market Trend: Computer Science

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Frequently Asked Questions (FAQ)

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What is the core focus of the research titled 'Advocating the potential of AI for syndrome discovery: a scoping review'?

This literature focuses on: 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 le...

What other academic literature is closely related to 'Advocating the potential of AI for syndrome discovery: a scoping review'?

Yes, highly correlated activity was mapped. An entry titled 'Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review' discusses this: Background Artificial intelligence (AI) use cases in health care are on the rise, with the potential to improve operational eff...

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