{"title":"Artificial intelligence in healthcare-opportunities and challenges","authors":"S. Reddy, J. Winter, S. Padmanabhan","doi":"10.21037/JHMHP-21-31","DOIUrl":null,"url":null,"abstract":"The term artificial intelligence (AI) evokes various responses amongst healthcare professionals, researchers and consumers (1). For some, AI could be panacea to all the problems ailing the healthcare sector and yet for others, a fad to be quickly dismissed. The truth is somewhere in between considering the efficacy of machine learning, a subset of AI, has been demonstrated in different areas of medicine with improved diagnosis and treatment being made possible (2). In other instances, AI has been found to useful in drug discovery, infectious disease surveillance and even in aiding efficient healthcare administration. Also, there has been increasing support from governments and the private sector in funding AI in healthcare research and development with a growing number of AI enabled medical software being approved for use in the market (3). However, AI as a new technology, especially so in the realm of medicine, has to be carefully evaluated for its safety and efficacy in achieving its intended outcomes (4). There is requirement for some preparatory work and laying out the ground for integration of AI in routine clinical workflows, while supporting more research and development of AI in healthcare applications. In this special edition, researchers and clinicians from across the world outline the scale of the use of AI in various contexts and key issues to consider in implementing AI in healthcare strategies. Covered in this edition is the ability of AI to enable precision medicine, issues in hospitals using AI for strategic decision making, how AI has been used in the Indian healthcare sector, the role of AI in managing respiratory diseases, the ability of AI to improve the quality of healthcare, why AI and healthcare need each other, and the key data governance challenges involved in implementing AI in healthcare. The collected articles promise not only a good review of AI in healthcare but also a balanced perspective for readers as to what AI can do for healthcare.","PeriodicalId":92075,"journal":{"name":"Journal of hospital management and health policy","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hospital management and health policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/JHMHP-21-31","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
The term artificial intelligence (AI) evokes various responses amongst healthcare professionals, researchers and consumers (1). For some, AI could be panacea to all the problems ailing the healthcare sector and yet for others, a fad to be quickly dismissed. The truth is somewhere in between considering the efficacy of machine learning, a subset of AI, has been demonstrated in different areas of medicine with improved diagnosis and treatment being made possible (2). In other instances, AI has been found to useful in drug discovery, infectious disease surveillance and even in aiding efficient healthcare administration. Also, there has been increasing support from governments and the private sector in funding AI in healthcare research and development with a growing number of AI enabled medical software being approved for use in the market (3). However, AI as a new technology, especially so in the realm of medicine, has to be carefully evaluated for its safety and efficacy in achieving its intended outcomes (4). There is requirement for some preparatory work and laying out the ground for integration of AI in routine clinical workflows, while supporting more research and development of AI in healthcare applications. In this special edition, researchers and clinicians from across the world outline the scale of the use of AI in various contexts and key issues to consider in implementing AI in healthcare strategies. Covered in this edition is the ability of AI to enable precision medicine, issues in hospitals using AI for strategic decision making, how AI has been used in the Indian healthcare sector, the role of AI in managing respiratory diseases, the ability of AI to improve the quality of healthcare, why AI and healthcare need each other, and the key data governance challenges involved in implementing AI in healthcare. The collected articles promise not only a good review of AI in healthcare but also a balanced perspective for readers as to what AI can do for healthcare.
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