{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T05:29:41Z","timestamp":1786512581014,"version":"build-2736575974"},"reference-count":21,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T00:00:00Z","timestamp":1741824000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T00:00:00Z","timestamp":1741824000000},"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":["Artificial Organs"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim of the Study<\/jats:title>\n                    <jats:p>Artificial intelligence (AI) such as large language models (LLMs) tools are potential sources of information on hypothermic cardiac arrest (HCA). The aim of our study was to determine whether, for patients with HCA, LLMs provide information consistent with expert consensus on criteria that would usually contraindicate extracorporeal cardiopulmonary resuscitation (eCRP) in patients with normothermic cardiac arrest (NCA), but not HCA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Based on Extracorporeal Life Support Organization guidelines, selected factors were identified that may be contraindications to eCPR in NCA but not in HCA. Four questions were created and entered into AI software (GPT\u20103.5 turbo, GPT\u20104o, GPT\u20104o\u2010mini, Claude 3.5 Sonnet, Claude 3 Haiku, Mistral Large, Mistral Small, Gemini Pro and Gemini Flash). The responses obtained and citations returned were assessed by an international panel of experts for consistency with current knowledge.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Complete agreement of responses with expert consensus was obtained for 5\/10 AI tools. In total, all AI tools presented 101 items in the literature. No reference was rated as \u201ccorrect\u201d; 45 citations (45%) \u201cexisted but did not answer the question\u201d; and 56 citations (55%) were considered \u201challucinatory\u201d.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Use of artificial intelligence in decision\u2010making for extracorporeal cardiopulmonary resuscitation in patients with hypothermic cardiac arrest risks unjustifiably withdrawing treatment from patients who have a chance of survival with a good neurological outcome. Large language models should not be used as the only tool for decision\u2010making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/aor.14993","type":"journal-article","created":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T03:09:11Z","timestamp":1741835351000},"page":"1192-1196","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Eligibility for\n                    <scp>eCPR<\/scp>\n                    Warming in Hypothermic Cardiac Arrest: Lack of Guidelines and the Current Constraints of Artificial Intelligence in Clinical Decision\u2010Making"],"prefix":"10.1111","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4027-0019","authenticated-orcid":false,"given":"Micha\u0142 P.","family":"Pluta","sequence":"first","affiliation":[{"name":"Department of Acute Medicine Medical University of Silesia  Zabrze Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomasz","family":"Darocha","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology and Intensive Care Medical University of Silesia  Katowice Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Micha\u0142","family":"Pasternak","sequence":"additional","affiliation":[{"name":"Doctoral School Medical University of Lublin  Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathieu","family":"Pasquier","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine Lausanne University Hospital  Lausanne Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konrad","family":"Mendrala","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology and Intensive Care Medical University of Silesia  Katowice Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rados\u0142aw","family":"Goco\u0142","sequence":"additional","affiliation":[{"name":"Department of Cardiac Surgery Upper\u2010Silesian Heart Center  Katowice Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sylweriusz","family":"Kosi\u0144ski","sequence":"additional","affiliation":[{"name":"Mountain Medicine Laboratory Jagiellonian University Medical College  Krakow Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,3,13]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resuscitation.2024.110410"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/mat.0000000000001518"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resuscitation.2024.110424"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chest.2023.10.022"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resuscitation.2018.02.026"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resuscitation.2019.03.017"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/MAT.0000000000001344"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13049\u2010024\u201001266\u20102"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/aor.13818"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.jvca.2019.07.152"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resuscitation.2022.01.022"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resuscitation.2023.109998"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12877\u2010017\u20100646\u20106"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12599\u2010023\u201000834\u20107"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00405\u2010023\u201008337\u20107"},{"key":"e_1_2_8_17_1","unstructured":"C.Cretu \u201cHow Does ChatGPT Actually Work? An ML Engineer Explains. Scalable Path \u201d2023 https:\/\/www.scalablepath.com\/machine\u2010learning\/chatgpt\u2010architecture\u2010explained."},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13690\u2010024\u201001414\u20101"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1055\/a\u20102149\u20100447"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.73127"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591\u2010023\u201002448\u20108"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.129389"}],"container-title":["Artificial Organs"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/aor.14993","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/aor.14993","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/aor.14993","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T04:58:38Z","timestamp":1786510718000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/aor.14993"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,13]]},"references-count":21,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["10.1111\/aor.14993"],"URL":"https:\/\/doi.org\/10.1111\/aor.14993","archive":["Portico"],"relation":{},"ISSN":["0160-564X","1525-1594"],"issn-type":[{"value":"0160-564X","type":"print"},{"value":"1525-1594","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,13]]},"assertion":[{"value":"2025-01-14","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-03-04","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-03-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}