Ajay I. Patel, Pooja K. Khunti, Amit J. Vyas, Ashok B. Patel
{"title":"Explicating Artificial Intelligence: Applications in Medicine and Pharmacy","authors":"Ajay I. Patel, Pooja K. Khunti, Amit J. Vyas, Ashok B. Patel","doi":"10.52711/2231-5713.2022.00061","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) is a broad word that refers to the theory and development of computer systems that can do tasks that would ordinarily require human cognition, such as perception, comprehension, reasoning, learning, planning, and problem solving. Understanding the terminology and methodologies used in AI can help you communicate more effectively with data scientists to work together to design models that will improve patient care. The healthcare and pharmaceutical industries have long been early adopters of technological developments, reaping major benefits as a result. AI is being applied in a range of health-related sectors, including the discovery of novel medications, the invention of new medical treatments, and the management of patient data and records. This review identifies and examines the fundamentals and applications of artificial intelligence in medicine and pharmacy.","PeriodicalId":8527,"journal":{"name":"Asian Journal of Pharmacy and Technology","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Pharmacy and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52711/2231-5713.2022.00061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Artificial intelligence (AI) is a broad word that refers to the theory and development of computer systems that can do tasks that would ordinarily require human cognition, such as perception, comprehension, reasoning, learning, planning, and problem solving. Understanding the terminology and methodologies used in AI can help you communicate more effectively with data scientists to work together to design models that will improve patient care. The healthcare and pharmaceutical industries have long been early adopters of technological developments, reaping major benefits as a result. AI is being applied in a range of health-related sectors, including the discovery of novel medications, the invention of new medical treatments, and the management of patient data and records. This review identifies and examines the fundamentals and applications of artificial intelligence in medicine and pharmacy.