{"title":"人工智能在医学寄生虫学中的应用：全面回顾","authors":"M. Elmehankar, Samia Etewa, Ashraf Metwally","doi":"10.21608/eajbse.2023.322464","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":507573,"journal":{"name":"Egyptian Academic Journal of Biological Sciences, E. Medical Entomology & Parasitology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review\",\"authors\":\"M. Elmehankar, Samia Etewa, Ashraf Metwally\",\"doi\":\"10.21608/eajbse.2023.322464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":507573,\"journal\":{\"name\":\"Egyptian Academic Journal of Biological Sciences, E. Medical Entomology & Parasitology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Egyptian Academic Journal of Biological Sciences, E. Medical Entomology & Parasitology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/eajbse.2023.322464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Egyptian Academic Journal of Biological Sciences, E. Medical Entomology & Parasitology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/eajbse.2023.322464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence Applications in Medical Parasitology: A Comprehensive Review
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.
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