{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T17:53:27Z","timestamp":1732038807230},"reference-count":41,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"name":"National Key R&D Program of China","award":["2018YFC0116500"]}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.com","clinicalkey.es","clinicalkey.com.au","clinicalkey.fr","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Artificial Intelligence in Medicine"],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1016\/j.artmed.2019.101780","type":"journal-article","created":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T10:35:48Z","timestamp":1576665348000},"page":"101780","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":58,"special_numbering":"C","title":["Implementation of artificial intelligence in medicine: Status analysis and development suggestions"],"prefix":"10.1016","volume":"102","author":[{"given":"Yifan","family":"Xiang","sequence":"first","affiliation":[]},{"given":"Lanqin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zhenzhen","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaohang","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Jingjing","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Erping","family":"Long","sequence":"additional","affiliation":[]},{"given":"Duoru","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Chuan","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zhuoling","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Haotian","family":"Lin","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"10114","key":"10.1016\/j.artmed.2019.101780_bib0005","doi-asserted-by":"crossref","first-page":"2739","DOI":"10.1016\/S0140-6736(17)31540-4","article-title":"Artificial intelligence in health care: within touching distance","volume":"390","author":"Lancet","year":"2018","journal-title":"Lancet"},{"issue":"5","key":"10.1016\/j.artmed.2019.101780_bib0010","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1001\/jamaoncol.2015.1203","article-title":"Artificial Intelligence, Big Data, and Cancer","volume":"1","author":"Kantarjian","year":"2015","journal-title":"JAMA Oncol"},{"issue":"5","key":"10.1016\/j.artmed.2019.101780_bib0015","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1308\/147870804290","article-title":"Artificial intelligence in medicine","volume":"86","author":"Ramesh","year":"2004","journal-title":"Ann R Coll Surg Engl"},{"issue":"7697","key":"10.1016\/j.artmed.2019.101780_bib0020","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1038\/nature25988","article-title":"Image reconstruction by domain-transform manifold learning","volume":"555","author":"Zhu","year":"2018","journal-title":"Nature"},{"issue":"5","key":"10.1016\/j.artmed.2019.101780_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.cell.2018.02.010","article-title":"Identifying medical diagnoses and treatable diseases by image-based deep learning","volume":"172","author":"Kermany","year":"2018","journal-title":"Cell"},{"issue":"2","key":"10.1016\/j.artmed.2019.101780_bib0030","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1038\/s41551-016-0024","article-title":"An artificial intelligence platform for the multihospital collaborative management of congenital cataracts","volume":"1","author":"Long","year":"2017","journal-title":"Nat Biomed Eng"},{"issue":"11","key":"10.1016\/j.artmed.2019.101780_bib0035","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002674","article-title":"Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: a retrospective, multicentre machine learning study","volume":"15","author":"Lin","year":"2018","journal-title":"PLoS Med"},{"issue":"10162","key":"10.1016\/j.artmed.2019.101780_bib0040","doi-asserted-by":"crossref","first-page":"2388","DOI":"10.1016\/S0140-6736(18)31645-3","article-title":"Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study","volume":"392","author":"Chilamkurthy","year":"2018","journal-title":"Lancet"},{"issue":"1","key":"10.1016\/j.artmed.2019.101780_bib0045","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","article-title":"High-performance medicine: the convergence of human and artificial intelligence","volume":"25","author":"Topol","year":"2019","journal-title":"Nat Med"},{"issue":"4","key":"10.1016\/j.artmed.2019.101780_bib0050","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1016\/j.acra.2018.10.007","article-title":"Influence of artificial intelligence on Canadian medical students\u2019 preference for radiology specialty: a national survey study","volume":"26","author":"Gong","year":"2018","journal-title":"Acad Radiol"},{"key":"10.1016\/j.artmed.2019.101780_bib0055","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.ejrad.2018.03.019","article-title":"The future of radiology augmented with Artificial Intelligence: a strategy for success","volume":"102","author":"Liew","year":"2018","journal-title":"Eur J Radiol"},{"issue":"1","key":"10.1016\/j.artmed.2019.101780_bib0060","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1038\/s41591-018-0307-0","article-title":"The practical implementation of artificial intelligence technologies in medicine","volume":"25","author":"He","year":"2019","journal-title":"Nat Med"},{"key":"10.1016\/j.artmed.2019.101780_bib0065","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/s11017-018-9442-3","article-title":"Against the iDoctor: why artificial intelligence should not replace physician judgment","volume":"39","author":"Karches","year":"2018","journal-title":"Theor Med Bioeth"},{"issue":"3","key":"10.1016\/j.artmed.2019.101780_bib0070","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/BF00996549","article-title":"Health managers\u2019 attitudes toward robotics and artificial computer intelligence: an empirical investigation","volume":"15","author":"Mendell","year":"1991","journal-title":"J Med Syst"},{"issue":"3","key":"10.1016\/j.artmed.2019.101780_bib0075","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1080\/10400435.2013.869703","article-title":"Acceptance and attitudes toward a human-like socially assistive robot by older adults","volume":"26","author":"Louie","year":"2014","journal-title":"Assist Technol"},{"issue":"8","key":"10.1016\/j.artmed.2019.101780_bib0080","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1007\/s00268-013-2090-x","article-title":"Patient attitudes toward transaxillary robot-assisted thyroidectomy","volume":"37","author":"Linos","year":"2013","journal-title":"World J Surg"},{"key":"10.1016\/j.artmed.2019.101780_bib0085","doi-asserted-by":"crossref","first-page":"127","DOI":"10.3322\/caac.21552","article-title":"Artificial intelligence in cancer imaging: clinical challenges and applications","volume":"69","author":"Bi","year":"2019","journal-title":"CA Cancer J Clin"},{"issue":"11","key":"10.1016\/j.artmed.2019.101780_bib0090","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1001\/jama.2018.11029","article-title":"Clinical implications and challenges of artificial intelligence and deep learning","volume":"320","author":"Stead","year":"2018","journal-title":"JAMA"},{"issue":"1","key":"10.1016\/j.artmed.2019.101780_bib0095","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1038\/s41591-018-0279-0","article-title":"Identifying facial phenotypes of genetic disorders using deep learning","volume":"25","author":"Gurovich","year":"2019","journal-title":"Nat Med"},{"issue":"1","key":"10.1016\/j.artmed.2019.101780_bib0100","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/S1474-4422(12)70302-2","article-title":"Movement disorders: improved understanding of early disease","volume":"12","author":"Schneider","year":"2013","journal-title":"Lancet Neurol"},{"issue":"35","key":"10.1016\/j.artmed.2019.101780_bib0105","doi-asserted-by":"crossref","first-page":"5160","DOI":"10.1200\/JCO.2010.31.2520","article-title":"The future of radiation oncology in the United States from 2010 to 2020: will supply keep pace with demand","volume":"28","author":"Smith","year":"2010","journal-title":"J Clin Oncol"},{"issue":"5","key":"10.1016\/j.artmed.2019.101780_bib0110","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1108\/JHOM-11-2012-0226","article-title":"Development of a culture of sustainability in health care organizations","volume":"27","author":"Ramirez","year":"2013","journal-title":"J Health Organ Manag"},{"issue":"7600","key":"10.1016\/j.artmed.2019.101780_bib0115","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1038\/532413a","article-title":"Anticipating artificial intelligence","volume":"532","year":"2016","journal-title":"Nature"},{"issue":"5","key":"10.1016\/j.artmed.2019.101780_bib0120","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1089\/tmj.2014.0102","article-title":"The development of intelligent healthcare in China","volume":"21","author":"Zheng","year":"2015","journal-title":"Telemed J E Health"},{"key":"10.1016\/j.artmed.2019.101780_bib0125","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/s41256-016-0003-x","article-title":"Dilemma of healthcare reform and invention of new discipline of health fiscalogy","volume":"1","author":"Liu","year":"2016","journal-title":"Glob Health Res Policy"},{"issue":"1","key":"10.1016\/j.artmed.2019.101780_bib0130","doi-asserted-by":"crossref","first-page":"1","DOI":"10.15265\/IYS-2016-s042","article-title":"Are we ready for the fourth industrial revolution","author":"Park","year":"2016","journal-title":"Yearb Med Inform"},{"key":"10.1016\/j.artmed.2019.101780_bib0135","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1186\/s12939-016-0357-1","article-title":"National equity of health resource allocation in China: data from 2009 to 2013","volume":"15","author":"Liu","year":"2016","journal-title":"Int J Equity Health"},{"issue":"1","key":"10.1016\/j.artmed.2019.101780_bib0140","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1111\/prd.12126","article-title":"The aging population: demographics and the biology of aging","volume":"72","author":"Kanasi","year":"2016","journal-title":"Periodontol 2000"},{"issue":"71 Suppl. 1","key":"10.1016\/j.artmed.2019.101780_bib0145","doi-asserted-by":"crossref","first-page":"S72","DOI":"10.1093\/gerona\/glv056","article-title":"Global quality of life among WHI women aged 80 years and older","author":"Naughton","year":"2016","journal-title":"J Gerontol A Biol Sci Med Sci"},{"key":"10.1016\/j.artmed.2019.101780_bib0150","doi-asserted-by":"crossref","first-page":"54","DOI":"10.2174\/1874434601711010054","article-title":"Acceptability among community healthcare nurses of intelligent wireless sensor-system technology for the rapid detection of health issues in home-dwelling older adults","volume":"11","author":"Cohen","year":"2017","journal-title":"Open Nurs J"},{"issue":"5","key":"10.1016\/j.artmed.2019.101780_bib0155","doi-asserted-by":"crossref","first-page":"1416","DOI":"10.1161\/STROKEAHA.116.016281","article-title":"Using artificial intelligence to reduce the risk of Nonadherence in patients on anticoagulation therapy","volume":"48","author":"Labovitz","year":"2017","journal-title":"Stroke"},{"issue":"5","key":"10.1016\/j.artmed.2019.101780_bib0160","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1089\/tmj.2009.0171","article-title":"Attitudes and reactions to a healthcare robot","volume":"16","author":"Broadbent","year":"2010","journal-title":"Telemed J E Health"},{"issue":"2","key":"10.1016\/j.artmed.2019.101780_bib0165","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.pec.2013.06.013","article-title":"Health communication meets artificial intelligence","volume":"92","author":"Green","year":"2013","journal-title":"Patient Educ Couns"},{"key":"10.1016\/j.artmed.2019.101780_bib0170","doi-asserted-by":"crossref","first-page":"e13","DOI":"10.1016\/j.ejim.2017.06.017","article-title":"The rise of artificial intelligence and the uncertain future for physicians","volume":"48","author":"Krittanawong","year":"2018","journal-title":"Eur J Intern Med"},{"issue":"4","key":"10.1016\/j.artmed.2019.101780_bib0175","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1177\/0141076818762648","article-title":"Time to regenerate: the doctor in the age of artificial intelligence","volume":"111","author":"Liu","year":"2018","journal-title":"J R Soc Med"},{"key":"10.1016\/j.artmed.2019.101780_bib0180","series-title":"Lecture Notes in Computer Science] Machine Learning and Knowledge Extraction Volume 11015 (Second IFIP TC 5, TC 8\/WG 8.4, 8.9, TC 12\/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27\u201330, 2018, Proceedings) || Curre","author":"Holzinger","year":"2019"},{"key":"10.1016\/j.artmed.2019.101780_bib0185","doi-asserted-by":"crossref","DOI":"10.2196\/13659","article-title":"Artificial intelligence and the implementation challenge","volume":"21","author":"Shaw","year":"2019","journal-title":"J Med Internet Res"},{"issue":"1","key":"10.1016\/j.artmed.2019.101780_bib0190","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1186\/s12913-018-3359-4","article-title":"Will artificial intelligence solve the human resource crisis in healthcare","volume":"18","author":"Mesk\u00f3","year":"2018","journal-title":"BMC Health Serv Res"},{"issue":"22","key":"10.1016\/j.artmed.2019.101780_bib0195","doi-asserted-by":"crossref","first-page":"2353","DOI":"10.1001\/jama.2016.17438","article-title":"Adapting to artificial intelligence: radiologists and pathologists as information specialists","volume":"316","author":"Jha","year":"2016","journal-title":"JAMA"},{"issue":"6","key":"10.1016\/j.artmed.2019.101780_bib0200","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.clinbiochem.2017.01.004","article-title":"The future of artificial intelligence and interpretative specialization in clinical biochemistry","volume":"50","author":"McCudden","year":"2017","journal-title":"Clin Biochem"},{"key":"10.1016\/j.artmed.2019.101780_bib0205","article-title":"Medical students\u2019 attitude towards artificial intelligence: a multicentre survey","author":"Pinto","year":"2018","journal-title":"Eur Radiol"}],"container-title":["Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0933365719303100?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0933365719303100?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T04:51:49Z","timestamp":1695531109000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0933365719303100"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":41,"alternative-id":["S0933365719303100"],"URL":"https:\/\/doi.org\/10.1016\/j.artmed.2019.101780","relation":{},"ISSN":["0933-3657"],"issn-type":[{"value":"0933-3657","type":"print"}],"subject":[],"published":{"date-parts":[[2020,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Implementation of artificial intelligence in medicine: Status analysis and development suggestions","name":"articletitle","label":"Article Title"},{"value":"Artificial Intelligence in Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.artmed.2019.101780","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"101780"}}