{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T03:51:02Z","timestamp":1782100262476,"version":"3.54.5"},"reference-count":58,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Sociology Health &amp;amp; Illness"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Computational methods and tools under the label \u2018artificial intelligence\u2019 (AI) are increasingly promoted as solutions to the challenges of under\u2010resourced and understaffed healthcare systems, with predictive modelling positioned as a means to improve efficiency and individualise care. Yet little is known about how predictive algorithms are taken up in the everyday practices of clinical decision\u2010making. Drawing on ethnographic fieldwork with Danish cardiologists working with the CARDIA\n                    <jats:sup>IHD<\/jats:sup>\n                    algorithm, this article examines how AI\u2010driven personal prognoses intersect with clinical reasoning and organisational temporalities. We show, first, that complex algorithms introduce new forms of interpretive work; second, that their mathematical non\u2010linear reasoning often conflicts with clinicians' causal and chronological frameworks; and third, that actionable horizons do not simply emerge with a survival prognosis but must be situated within specific times, places and organisational demands. Conceptualising prognostication with AI as\n                    <jats:italic>horizoning<\/jats:italic>\n                    , we argue that algorithmic personal prognoses do not straightforwardly deliver actionable futures, but must be anchored within the temporal and organisational conditions of clinical work to guide decision\u2010making. Our findings advance sociological debates on the future by demonstrating that in algorithmically informed healthcare, the future is not a pre\u2010given horizon but a negotiated, relational and socially enacted terrain.\n                  <\/jats:p>","DOI":"10.1111\/1467-9566.70209","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T05:55:39Z","timestamp":1781589339000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From Prediction to Horizon: Clinicians' Negotiations of AI\u2010Driven Personal Prognoses in Clinical Practice"],"prefix":"10.1111","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3938-5211","authenticated-orcid":false,"given":"Iben Mundbjerg","family":"Gj\u00f8dsb\u00f8l","sequence":"first","affiliation":[{"name":"Centre for Medical Science and Technology Studies, Department of Public Health University of Copenhagen  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4777-4973","authenticated-orcid":false,"given":"Mette Nordahl","family":"Svendsen","sequence":"additional","affiliation":[{"name":"Centre for Medical Science and Technology Studies, Department of Public Health University of Copenhagen  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1163\/ej.9789004161771.i-218"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1057\/sub.2009.18"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jik.2023.100333"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12911\u2010020\u201001332\u20106"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1177\/0306312719862049"},{"key":"e_1_2_12_7_1","first-page":"1","volume-title":"Algorithmic Life: Calculative Devices in the Age of Big Data","author":"Amoore L.","year":"2016"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.2147\/jhl.s369498"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/09537320600777002"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/0953732032000046024"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00146\u2010024\u201001998\u2010w"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12929\u2010024\u201001110\u2010w"},{"key":"e_1_2_12_14_1","volume-title":"Death Foretold: Prophecy and Prognosis in Medical Care","author":"Christakis N.","year":"2001"},{"key":"e_1_2_12_15_1","volume-title":"Innovative Public Procurement of AI Solutions\u2014From Need to Operation in Clinical Practice","author":"Danish Life Science Cluster","year":"2026"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cct.2012.01.001"},{"key":"e_1_2_12_17_1","doi-asserted-by":"publisher","DOI":"10.7861\/futurehosp.6\u20102\u201094"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.59954"},{"key":"e_1_2_12_19_1","volume-title":"Afterlives of Data: Life and Debt Under Capitalist Surveillance","author":"Ebeling M. 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