{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T21:24:58Z","timestamp":1771104298672,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100005934","name":"Malm\u00f6 University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100005934","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["AI Ethics"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Healthcare systems are the embodiment of big data \u2013 as evident in the logistics of resource management, estate maintenance, diagnoses, patient monitoring, research, etc. \u2013 such that human health is often heralded as one of the fields most likely to benefit from AI. Yet, the prevalence of hype \u2013 both positive and negative \u2013 risks undermining that potential by distracting healthcare policy makers, practitioners, and researchers from many of the non-AI factors that will determine its impact. Here we categorise AI hype in healthcare into three types that include both utopian and dystopian narratives and plot a series of more productive paths ahead by which to realise the potential of AI to improve human healthcare.<\/jats:p>","DOI":"10.1007\/s43681-024-00465-y","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T10:02:42Z","timestamp":1710410562000},"page":"833-840","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Three different types of AI hype in healthcare"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2903-7267","authenticated-orcid":false,"given":"Michael","family":"Strange","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,14]]},"reference":[{"key":"465_CR1","doi-asserted-by":"crossref","unstructured":"Lawry, T.: Hacking Healthcare \u2013 How AI and the Intelligence Revolution will Reboot an Ailing System. 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Published 2009."},{"key":"465_CR10","unstructured":"Statement on AI Risk: - AI experts and public figures express their concern about AI risk. https:\/\/www.safe.ai\/statement-on-ai-risk (2023). Published 30th May 2023."},{"key":"465_CR11","unstructured":"Stop talking about tomorrow\u2019: s AI doomsday when AI poses risks today. https:\/\/www.nature.com\/articles\/d41586-023-02094-7 (2023). Published 27th June 2023."},{"key":"465_CR12","unstructured":"FACT SHEET: Biden-Harris Administration Executive Order Directs DHS to Lead the Responsible Development of Artificial Intelligence. (2023). https:\/\/www.dhs.gov\/news\/2023\/10\/30\/fact-sheet-biden-harris-administration-executive-order-directs-dhs-lead-responsible Published 30th October 2023"},{"key":"465_CR13","unstructured":"Hart, J.: President Biden\u2019s AI worries were deepened by a \u2018Mission Impossible\u2019 villain. (2023). https:\/\/www.businessinsider.com\/joe-bidens-ai-concerns-grew-mission-impossible-villain-executive-order-2023-11?r=US&IR=T Published 1st November 2023"},{"key":"465_CR14","unstructured":"Bhuiyan, J.: How the UK\u2019s emphasis on apocalyptic AI risk helps business. The Guardian. (2023). https:\/\/www.theguardian.com\/technology\/2023\/oct\/31\/uk-ai-summit-tech-regulation Published 31st October 2023."},{"key":"465_CR15","unstructured":"UK will refrain from regulating AI: \u2018in the short term\u2019 (2023). https:\/\/www.ft.com\/content\/ecef269b-be57-4a52-8743-70da5b8d9a65 (2023). Published 16th November 2023"},{"key":"465_CR16","unstructured":"Lomas, N.: \u2018Europe\u2019s AI Act talks head for crunch point\u2019, TechCrunch. 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Published 2023.","DOI":"10.1007\/s43681-022-00148-6"},{"key":"465_CR18","doi-asserted-by":"publisher","unstructured":"Ibid, S. also, Johnson, D.G., Verdicchio, M.: Reframing AI discourse. Minds and Machines 27, 575\u2013590. https:\/\/doi.org\/10.1007\/s11023-017-9417-6. Published 2017","DOI":"10.1007\/s11023-017-9417-6"},{"key":"465_CR19","unstructured":"Jasanoff, S.: States of Knowledge: The co-production of Science and the Social Order. Editor. New York and London: Routledge. Published 2004. Page 4."},{"key":"465_CR20","doi-asserted-by":"crossref","unstructured":"Govia, L.: Coproduction, ethics and artificial intelligence: A perspective from cultural anthropology. J. Digit. Social Res., 2(3), 42\u201364. Published 2020.","DOI":"10.33621\/jdsr.v2i3.53"},{"key":"465_CR21","unstructured":"Heikkil\u00e4, M.: Dutch scandal serves as a warning for Europe over risks of using algorithms. (2022). https:\/\/www.politico.eu\/article\/dutch-scandal-serves-as-a-warning-for-europe-over-risks-of-using-algorithms\/ Published 29th March 2022"},{"key":"465_CR22","unstructured":"Bibby, J.: Health care only accounts for 10% of a population\u2019s health. The Health Foundation. (2017). https:\/\/www.health.org.uk\/blogs\/health-care-only-accounts-for-10-of-a-population%E2%80%99s-health Published 29th June 2017"},{"key":"465_CR23","unstructured":"Social determinants of health, World Health Organization: https:\/\/www.who.int\/health-topics\/social-determinants-of-health (2023). Last accessed 29th November 2023."},{"key":"465_CR24","doi-asserted-by":"crossref","unstructured":"Ralston, R., Godziewski, C., Brooks, E.: Reconceptualising the commercial determinants of health: Bringing institutions in. BMJ Global Health https:\/\/pubmed.ncbi.nlm.nih.gov\/38016709\/ (2023). 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