Artificial Intelligence in Infectious Disease Diagnostic Technologies
Published on : December 2025
SUMMARY
Diagnostics | October 2025
As artificial intelligence (AI) continues to evolve, its integration into infectious disease diagnostics is reshaping how we detect, monitor, and manage emerging threats. This comprehensive review explores how machine learning models are enhancing the accuracy of pathogen identification through high‑throughput sequencing, improving interpretation of radiological and digital microscopy images, and supporting real‑time outbreak detection via advanced data analytics. At the same time, it tackles critical questions facing laboratorians and clinicians alike — how to overcome data limitations, ensure clinical transparency, and validate AI models for real‑world use.
For professionals navigating the growing intersection of technology and infectious disease medicine, this review offers valuable insights into the innovations and implementation strategies that could define the next generation of diagnostic care.
FEATURED EXPERT
• Chao Dong
• Yujing Liu, College of Life Sciences, Hebei Agricultural University in Baoding, China
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Explore how AI is redefining infectious disease diagnostics and shaping the future of clinical decision‑making.
