{"title":"人工智能和机器学习在医疗保健中的承诺和条件。","authors":"Anish Bhardwaj","doi":"10.2147/JHL.S369498","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial Intelligence (AI) and Machine Learning (ML) promise to transform all facets of medicine. Expected changes include more effective clinical triage, enhanced accuracy of diagnostic interpretations, improved therapeutic interventions, augmented workflow algorithms, streamlined data collection and processing, more precise disease prognostication, newer pharmacotherapies, and ameliorated genome interpretation. However, many caveats remain. Reliability of input data, interpretation of output data, data proprietorship, consumer privacy, and liability issues due to potential for data breaches will all have to be addressed. Of equal concern will be decreased human interaction in clinical care, patient satisfaction, affordability, and skepticism regarding cost-benefit. This descriptive literature-based treatise expounds on the promise and provisos associated with the anticipated import of AI and ML into all domains of medicine and healthcare in the very near future.</p>","PeriodicalId":44346,"journal":{"name":"Journal of Healthcare Leadership","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d8/df/jhl-14-113.PMC9309280.pdf","citationCount":"7","resultStr":"{\"title\":\"Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare.\",\"authors\":\"Anish Bhardwaj\",\"doi\":\"10.2147/JHL.S369498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Artificial Intelligence (AI) and Machine Learning (ML) promise to transform all facets of medicine. Expected changes include more effective clinical triage, enhanced accuracy of diagnostic interpretations, improved therapeutic interventions, augmented workflow algorithms, streamlined data collection and processing, more precise disease prognostication, newer pharmacotherapies, and ameliorated genome interpretation. However, many caveats remain. Reliability of input data, interpretation of output data, data proprietorship, consumer privacy, and liability issues due to potential for data breaches will all have to be addressed. Of equal concern will be decreased human interaction in clinical care, patient satisfaction, affordability, and skepticism regarding cost-benefit. This descriptive literature-based treatise expounds on the promise and provisos associated with the anticipated import of AI and ML into all domains of medicine and healthcare in the very near future.</p>\",\"PeriodicalId\":44346,\"journal\":{\"name\":\"Journal of Healthcare Leadership\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2022-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d8/df/jhl-14-113.PMC9309280.pdf\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Healthcare Leadership\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/JHL.S369498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Healthcare Leadership","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/JHL.S369498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare.
Artificial Intelligence (AI) and Machine Learning (ML) promise to transform all facets of medicine. Expected changes include more effective clinical triage, enhanced accuracy of diagnostic interpretations, improved therapeutic interventions, augmented workflow algorithms, streamlined data collection and processing, more precise disease prognostication, newer pharmacotherapies, and ameliorated genome interpretation. However, many caveats remain. Reliability of input data, interpretation of output data, data proprietorship, consumer privacy, and liability issues due to potential for data breaches will all have to be addressed. Of equal concern will be decreased human interaction in clinical care, patient satisfaction, affordability, and skepticism regarding cost-benefit. This descriptive literature-based treatise expounds on the promise and provisos associated with the anticipated import of AI and ML into all domains of medicine and healthcare in the very near future.
期刊介绍:
Efficient and successful modern healthcare depends on a growing group of professionals working together as an interdisciplinary team. However, many forces shape the delivery of healthcare; changes are being driven by the markets, transformations in concepts of health and wellbeing, technology and research and discovery. Dynamic leadership will guide these necessary transformations. The Journal of Healthcare Leadership is an international, peer-reviewed, open access journal focusing on leadership for the healthcare professions. The publication strives to amalgamate current and future healthcare professionals and managers by providing key insights into leadership progress and challenges to improve patient care. The journal aspires to inform key decision makers and those professionals with ambitions of leadership and management; it seeks to connect professionals who are engaged in similar endeavours and to provide wisdom from those working in other industries. Senior and trainee doctors, nurses and allied healthcare professionals, medical students, healthcare managers and allied leaders are invited to contribute to this publication