Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review
Elmehankar, M., Etewa, S., Metwally, A. (2023). Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review. EKB Journal Management System, 15(2), 35-43. doi: 10.21608/eajbse.2023.322464
Manar S. Elmehankar; Samia E. Etewa; Ashraf S. Metwally. "Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review". EKB Journal Management System, 15, 2, 2023, 35-43. doi: 10.21608/eajbse.2023.322464
Elmehankar, M., Etewa, S., Metwally, A. (2023). 'Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review', EKB Journal Management System, 15(2), pp. 35-43. doi: 10.21608/eajbse.2023.322464
Elmehankar, M., Etewa, S., Metwally, A. Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review. EKB Journal Management System, 2023; 15(2): 35-43. doi: 10.21608/eajbse.2023.322464

Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review

Egyptian Academic Journal of Biological Sciences, E. Medical Entomology & Parasitology
Volume 15, Issue 2, December 2023, Page 35-43  XML PDF (425 K)
Document Type: Original Article
DOI: 10.21608/eajbse.2023.322464
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Authors
Manar S. Elmehankarorcid 1; Samia E. Etewa2; Ashraf S. Metwally3
1Department of Medical Parasitology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
2Department of Medical Parasitology, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
3Department of Medical Parasitology, Faculty of Medicine, Zagazig University, Zagazig, Egypt. -Department of Basic Medical Science, Faculty of Medicine, Bisha University, KSA.
Abstract
Medical parasitology is a specialty of medicine that studies, diagnoses, as well as treats parasitic illnesses in humans. Numerous parasites still require human microscopic testing, which is a time-consuming operation that requires expert personnel. The creation of artificially intelligent machines that can carry out duties that traditionally need cognitive abilities is the focus of the fast-developing discipline called artificial intelligence “AI”. Consequently, the usage of AI has established itself as a potent tool across a number of sectors, and its application in medical parasitology shows considerable promise. The present article seeks to offer a complete overview of the existing and potential AI tasks and applications in medical parasitology. Researchers explore AI implementation techniques including neural networks, computer vision, and processing of natural languages in parasite detection, diagnosis, classification, drug discovery, and epidemiological investigations. Furthermore, they emphasize the challenges and potential perspectives for integrating artificial intelligence in this industry.
Keywords
Artificial intelligence; medical parasitology; machine learning; computer vision
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