Steven Brass, Donald Larsen, Deeksha Panuganti, Noorafsha Khan, Vijay Khatri
{"title":"Artificial Intelligence in Healthcare: The Revolutionization of Medicine","authors":"Steven Brass, Donald Larsen, Deeksha Panuganti, Noorafsha Khan, Vijay Khatri","doi":"10.55834/plj.1825928101","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) is becoming a significant part of healthcare, with the potential to alter the landscape of medicine as we know it. The primary objective of this review is to provide definitions of crucial AI terminology and explore how AI is revolutionizing aspects of healthcare that encompass diagnosis, clinical operations, and treatment. The authors describe a framework to help leaders facilitate the selection and deployment of AI in healthcare. They also discuss the potential challenges of AI, including the regulatory angle, data bias, data accuracy, cost of AI, and how AI can affect healthcare jobs in the future.","PeriodicalId":91157,"journal":{"name":"Physician leadership journal","volume":"30 15","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physician leadership journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55834/plj.1825928101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Artificial intelligence (AI) is becoming a significant part of healthcare, with the potential to alter the landscape of medicine as we know it. The primary objective of this review is to provide definitions of crucial AI terminology and explore how AI is revolutionizing aspects of healthcare that encompass diagnosis, clinical operations, and treatment. The authors describe a framework to help leaders facilitate the selection and deployment of AI in healthcare. They also discuss the potential challenges of AI, including the regulatory angle, data bias, data accuracy, cost of AI, and how AI can affect healthcare jobs in the future.
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