{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T14:50:18Z","timestamp":1775573418011,"version":"3.50.1"},"reference-count":34,"publisher":"Public Library of Science (PLoS)","issue":"2","license":[{"start":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T00:00:00Z","timestamp":1613001600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1008531","type":"journal-article","created":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T22:41:50Z","timestamp":1613083310000},"page":"e1008531","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":22,"title":["Ten simple rules for engaging with artificial intelligence in biomedicine"],"prefix":"10.1371","volume":"17","author":[{"given":"Avni","family":"Malik","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5573-6216","authenticated-orcid":true,"given":"Paranjay","family":"Patel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6307-2106","authenticated-orcid":true,"given":"Lubaina","family":"Ehsan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1981-4317","authenticated-orcid":true,"given":"Shan","family":"Guleria","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9217-1100","authenticated-orcid":true,"given":"Thomas","family":"Hartka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3834-1735","authenticated-orcid":true,"given":"Sodiq","family":"Adewole","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0954-0583","authenticated-orcid":true,"given":"Sana","family":"Syed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2021,2,11]]},"reference":[{"key":"pcbi.1008531.ref001","volume-title":"Deep medicine: how artificial intelligence can make healthcare human again","author":"E. Topol","year":"2019"},{"key":"pcbi.1008531.ref002","volume-title":"10 ways health care AI could transform primary care","author":"TM Smith","year":"2020"},{"key":"pcbi.1008531.ref003","doi-asserted-by":"crossref","DOI":"10.3390\/app9081526","article-title":"Deep Learning in the biomedical applications: recent and future status","volume":"9","author":"R Zemouri","year":"2019","journal-title":"Appl Sci"},{"key":"pcbi.1008531.ref004","article-title":"Risks and remedies for artificial intelligence in health care","author":"W Nicholson","year":"2020","journal-title":"Brookings. Brookings"},{"key":"pcbi.1008531.ref005","article-title":"Stanford Medicine launches health care trends report","author":"News Center","year":"2017","journal-title":"News Center"},{"key":"pcbi.1008531.ref006","volume-title":"P & T: a peer-reviewed journal for formulary management","author":"M. Reisman","year":"2017"},{"key":"pcbi.1008531.ref007","volume-title":"The Physiological Society","author":"DH Hubel","year":"1962"},{"key":"pcbi.1008531.ref008","volume-title":"Nature news","author":"S. Reardon","year":"2019"},{"key":"pcbi.1008531.ref009","author":"A Agrawal","year":"2018"},{"key":"pcbi.1008531.ref010","author":"TM Mitchell","year":"2017"},{"key":"pcbi.1008531.ref011","author":"C Sammut","year":"2017"},{"key":"pcbi.1008531.ref012","article-title":"Artificial intelligence: definition, trends, techniques, and cases","volume":"1","author":"JN Kok","year":"2009","journal-title":"Artif Intell"},{"key":"pcbi.1008531.ref013","article-title":"Application of artificial intelligence to gastroenterology and hepatology","author":"C Le Berre","year":"2019","journal-title":"Gastroenterology"},{"issue":"1","key":"pcbi.1008531.ref014","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000006","article-title":"Learning deep architectures for AI","volume":"2","author":"Y. Bengio","year":"2009","journal-title":"Foundations and trends in Machine Learning"},{"key":"pcbi.1008531.ref015","volume-title":"Deep Learning with R","author":"F. Chollet","year":"2018"},{"key":"pcbi.1008531.ref016","article-title":"Opening the black box of machine learning","year":"2018","journal-title":"Lancet Respir Med"},{"key":"pcbi.1008531.ref017","article-title":"Privacy and accountability in black-box medicine","author":"RA Ford","year":"2016","journal-title":"Michigan Telecommunications and Technology Law Review"},{"key":"pcbi.1008531.ref018","article-title":"Unpacking the black box in Artificial Intelligence for medicine","author":"E. Bender","year":"2019","journal-title":"Undark"},{"key":"pcbi.1008531.ref019","first-page":"1610.02391v4","article-title":"Grad-CAM: visual explanations from deep networks via gradient-based localization","author":"RR Selvaraju","year":"2019","journal-title":"arXiv"},{"key":"pcbi.1008531.ref020","first-page":"1910.03084","article-title":"CeliacNet: celiac disease severity diagnosis on duodenal histopathological images using deep residual networks","author":"R Sali","year":"2019","journal-title":"arXiv"},{"key":"pcbi.1008531.ref021","author":"R Rajalakshmi","year":"2018"},{"key":"pcbi.1008531.ref022","unstructured":"Remidio. Home. Available from: https:\/\/www.remidio.us\/index.php"},{"key":"pcbi.1008531.ref023","author":"V. Eubanks","year":"2019"},{"key":"pcbi.1008531.ref024","author":"C. O'Neil","year":"2018"},{"key":"pcbi.1008531.ref025","author":"SU Noble","year":"2018"},{"key":"pcbi.1008531.ref026","volume-title":"National Institutes of Health","author":"Privacy in Genomics","year":"2020"},{"key":"pcbi.1008531.ref027","unstructured":"Big Data to Knowledge. National Institutes of Health. U.S. Department of Health and Human Services. 2020 [cited 2020 May 17]. Available from: http:\/\/commonfund.nih.gov\/bd2k."},{"key":"pcbi.1008531.ref028","author":"Biomedical Data Science Focus Area Curriculum Requirements","year":"2020","journal-title":"John Hopkins Biomedical Engineering"},{"key":"pcbi.1008531.ref029","author":"Artificial Intelligence and the Future of Clinical Practice","year":"2020","journal-title":"Massachusetts Medical Society: Artificial Intelligence and the Future of Clinical Practice"},{"key":"pcbi.1008531.ref030","article-title":"Intro to AI and Machine Learning: Why all the buzz?","year":"2018","journal-title":"Radiological Society of North America"},{"key":"pcbi.1008531.ref031","author":"Biomedical Data Science Curriculum Initiative","year":"2020","journal-title":"Harvard Department of Biomedical Informatics"},{"key":"pcbi.1008531.ref032","author":"Biomedical Data Science Initiative","year":"2020","journal-title":"Stanford Medicine"},{"key":"pcbi.1008531.ref033","author":"AC Clarke","year":"1983"},{"key":"pcbi.1008531.ref034","article-title":"IBM\u2019s Watson supercomputer recommended \u2018unsafe and incorrect\u2019 cancer treatments, internal documents show","author":"C. Ross","year":"2018","journal-title":"STAT"}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1008531","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T22:42:09Z","timestamp":1613083329000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1008531"}},"subtitle":[],"editor":[{"given":"Scott","family":"Markel","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,2,11]]},"references-count":34,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2021,2,11]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1008531","relation":{},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,11]]}}}