{"title":"让人工智能和机器学习 \"公平 \"地融入我们的医疗保健系统","authors":"Ritu Agarwal, G. Gao","doi":"10.18043/001c.120565","DOIUrl":null,"url":null,"abstract":"Enthusiasm about the promise of artificial intelligence and machine learning in health care must be accompanied by oversight and remediation of any potential adverse effects on health equity goals that these technologies may create. We describe five equity imperatives for the use of AI/ML in health care that require attention from health care professionals, developers, and policymakers.","PeriodicalId":39574,"journal":{"name":"North Carolina Medical Journal","volume":"141 19","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Toward an “Equitable” Assimilation of Artificial Intelligence and Machine Learning into Our Health Care System\",\"authors\":\"Ritu Agarwal, G. Gao\",\"doi\":\"10.18043/001c.120565\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Enthusiasm about the promise of artificial intelligence and machine learning in health care must be accompanied by oversight and remediation of any potential adverse effects on health equity goals that these technologies may create. We describe five equity imperatives for the use of AI/ML in health care that require attention from health care professionals, developers, and policymakers.\",\"PeriodicalId\":39574,\"journal\":{\"name\":\"North Carolina Medical Journal\",\"volume\":\"141 19\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"North Carolina Medical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18043/001c.120565\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"North Carolina Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18043/001c.120565","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Toward an “Equitable” Assimilation of Artificial Intelligence and Machine Learning into Our Health Care System
Enthusiasm about the promise of artificial intelligence and machine learning in health care must be accompanied by oversight and remediation of any potential adverse effects on health equity goals that these technologies may create. We describe five equity imperatives for the use of AI/ML in health care that require attention from health care professionals, developers, and policymakers.
期刊介绍：
NCMJ, the North Carolina Medical Journal, is meant to be read by everyone with an interest in improving the health of North Carolinians. We seek to make the Journal a sounding board for new ideas, new approaches, and new policies that will deliver high quality health care, support healthy choices, and maintain a healthy environment in our state.
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