Advancements in AI-Based Diagnostic Tools for Infectious Disease: A Mini Review

Document Type : Review paper


Department of Biology, Faculty of Medical Sciences, Hamedan Branch, Islamic Azad University, Hamedan, Iran


Background and aim: The fast progress of artificial intelligence (AI) is changing the way we diagnose medical conditions, especially in infectious diseases. This review aims to examine the latest developments in AI-based diagnostic tools, with a focus on how they can help us find diseases earlier and enhance patient care.
Methods: We searched many databases for studies published until August 2023 using keywords like "artificial intelligence," "infectious disease," and "diagnostic tools." We carefully reviewed these studies to see how they used AI, how accurate their diagnostics were, and how they could be used in real medical practice.
Results: This review explores how AI is used in infectious disease. It looks at things like machine learning, deep learning, and computer-aided diagnostic systems. These tools are really good at finding infections, often better than older methods. The review also checks how AI can be used with things like medical images, genomics, and point-of-care tests to find diseases early, make medical work smoother, and ultimately, help save lives.
Conclusion: Using AI-based tools in diagnosing diseases is a big step forward in finding infectious diseases. This review shows that these tools can make diagnoses much more accurate and faster. As AI gets better, it will become a normal part of medical care. This means we can find diseases earlier, help patients more, and change how we look for infectious diseases.


Main Subjects

Volume 2, Issue 2
Special Issue: Abstract and Papers from ICBMS23 (Turkey), ICBM23 (Hungary), ICCMM23 (Italy)
Pages 196-202
  • Receive Date: 19 December 2023
  • Accept Date: 19 December 2023