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Parasitologists United Journal
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Diab, R. (2023). Artificial intelligence and Medical Parasitology: Applications and perspectives. Parasitologists United Journal, 16(2), 91-93. doi: 10.21608/PUJ.2023.227619.1217
Radwa Diab. "Artificial intelligence and Medical Parasitology: Applications and perspectives". Parasitologists United Journal, 16, 2, 2023, 91-93. doi: 10.21608/PUJ.2023.227619.1217
Diab, R. (2023). 'Artificial intelligence and Medical Parasitology: Applications and perspectives', Parasitologists United Journal, 16(2), pp. 91-93. doi: 10.21608/PUJ.2023.227619.1217
Diab, R. Artificial intelligence and Medical Parasitology: Applications and perspectives. Parasitologists United Journal, 2023; 16(2): 91-93. doi: 10.21608/PUJ.2023.227619.1217

Artificial intelligence and Medical Parasitology: Applications and perspectives

Article 1, Volume 16, Issue 2, August 2023, Page 91-93  XML PDF (271.49 K)
Document Type: Editorial
DOI: 10.21608/PUJ.2023.227619.1217
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Author
Radwa Diab email
Medical Parasitology Department, Alexandria Faculty of Medicine, Alexandria, Egypt
Abstract
Artificial intelligence (AI) is a leap in modern life. Medicine is one of the most benefited scientific fields from
AI. Infectious diseases, including parasitic infections, are increasing despite modern life cautious patterns.
Strategies implemented and planned for AI in developing countries can simplify decisions in parasitic medical
issues such as predicting epidemic foci, easy diagnosis and understanding the mechanisms of parasitic
diseases. Besides, by the help of pre-exiting datasets, AI is prospering in the field of understanding drug
resistance, drug targets detection, design of new drugs, and teaching Medical Parasitology as well. The aim of
the present editorial is to enlighten the reader with different applications of AI in parasitology and the scope
of possible future perspectives.
Keywords
artificial intelligence; artificial neural networks; deep malaria; machine learning; SMILES; telemedicine; Viola-Jones
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