%0 Journal Article
%T AI-powered microscopy image analysis for parasitology: integrating human expertise.
%A Feng R
%A Li S
%A Zhang Y
%J Trends Parasitol
%V 40
%N 7
%D 2024 Jul 31
%M 38824067
%F 10.528
%R 10.1016/j.pt.2024.05.005
%X Microscopy image analysis plays a pivotal role in parasitology research. Deep learning (DL), a subset of artificial intelligence (AI), has garnered significant attention. However, traditional DL-based methods for general purposes are data-driven, often lacking explainability due to their black-box nature and sparse instructional resources. To address these challenges, this article presents a comprehensive review of recent advancements in knowledge-integrated DL models tailored for microscopy image analysis in parasitology. The massive amounts of human expert knowledge from parasitologists can enhance the accuracy and explainability of AI-driven decisions. It is expected that the adoption of knowledge-integrated DL models will open up a wide range of applications in the field of parasitology.