AIMC Topic: Parasitology

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What's not to learn? AI meets parasitology.

Journal of clinical microbiology
Although artificial intelligence-particularly large-language models-receives daily attention, the application of AI to image-recognition challenges in clinical microbiology has been under development for several years. In the accompanying article, B....

No longer stuck in the past: new advances in artificial intelligence and molecular assays for parasitology screening and diagnosis.

Current opinion in infectious diseases
PURPOSE OF REVIEW: Emerging technologies are revolutionizing parasitology diagnostics and challenging traditional methods reliant on microscopic analysis or serological confirmation, which are known for their limitations in sensitivity and specificit...

AI-powered microscopy image analysis for parasitology: integrating human expertise.

Trends in parasitology
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, oft...

Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears.

IEEE journal of biomedical and health informatics
OBJECTIVE: This work investigates the possibility of automated malaria parasite detection in thick blood smears with smartphones.

[Application of artificial intelligence in parasitic diseases and parasitology].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scientific and technological revolution in the field of healthcare. Recently, artificial intelligence has...