Artificial intelligence and Medical Parasitology: Applications and perspectives | ||||
| Parasitologists United Journal | ||||
| Article 1, Volume 16, Issue 2, August 2023, Page 91-93 PDF (271.49 K) | ||||
| Document Type: Editorial | ||||
| DOI: 10.21608/PUJ.2023.227619.1217 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Radwa Diab 
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| 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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