A Critical Review of the Prospect of Integrating Artificial Intelligence in Infectious Disease Diagnosis and Prognosis

• Published in: Interdisciplinary perspectives on infectious diseases Vol. 2025; no. 1; p. 6816002
• Main Authors: Hudu, Shuaibu Abdullahi, Alshrari, Ahmed Subeh, Abu-Shoura, Esra’a Jebreel Ibrahim, Osman, Amira, Jimoh, Abdulgafar Olayiwola
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.01.2025; Wiley
• Subjects: Artificial intelligence; Automation; Epidemics; Infectious diseases; diagnosis; machine learning; prognosis; artificial intelligence; infectious diseases
• ISSN: 1687-708X; 1687-7098; 1687-7098
• DOI: 10.1155/ipid/6816002

This paper explores the transformative potential of integrating artificial intelligence (AI) in the diagnosis and prognosis of infectious diseases. By analyzing diverse datasets, including clinical symptoms, laboratory results, and imaging data, AI algorithms can significantly enhance early detection and personalized treatment strategies. This paper reviews how AI‐driven models improve diagnostic accuracy, predict patient outcomes, and contribute to effective disease management. It also addresses the challenges and ethical considerations associated with AI, including data privacy, algorithmic bias, and equitable access to healthcare. Highlighting case studies and recent advancements, the paper underscores AI’s role in revolutionizing infectious disease management and its implications for future healthcare delivery.