01714nas a2200181   4500000000100000008004100001260008200042653002100124100001700145700001200162700001500174245008900189856008700278300001000365490000700375520113600382022001401518       2023                            d  bEgypts Presidential Specialized Council for Education and Scientific Research10aGeneral Medicine1 aElmehankar M1 aEtewa S1 aMetwally A00aArtificial Intelligence Applications in Medical Parasitology: A Comprehensive Review  uhttps://eajbse.journals.ekb.eg/article_322464_9cd5e6b3489358cf3311d3f2d9f44de1.pdf  a35-430 v153 a<p>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 fastdeveloping 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.</p>
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