AI and Lyme Disease: Pioneering Advances in Diagnostic Accuracy
Patrycja Dębiec,
Jakub Roman,
Daniel Gondko
et al.
Abstract:Introduction and Purpose: Accurate diagnosis of Lyme disease remains challenging due to its varied manifestations and the limitations of current diagnostic tests. This review examines the emerging role of artificial intelligence (AI) in enhancing the diagnostic accuracy for Lyme disease, aiming to understand how these technologies can be integrated into clinical practice.State of Knowledge: AI and machine learning techniques are increasingly applied to improve diagnostic processes. In Lyme disease, AI models h… Show more
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