{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:31:05Z","timestamp":1771468265589,"version":"3.50.1"},"reference-count":9,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T00:00:00Z","timestamp":1694044800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Infect. Control Hosp. Epidemiol."],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The use of the OpenAI GPT-4 model in detecting catheter-associated urinary tract infection (CAUTI) cases in small fictitious and curated patient data sets was investigated. Final analysis of 50 patients including 11 CAUTI cases yielded sensitivity, specificity and positive and negative predictive values of 91%, 92%, 83%, and 96%, respectively.<\/jats:p>","DOI":"10.1017\/ice.2023.189","type":"journal-article","created":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T08:27:11Z","timestamp":1694075231000},"page":"96-99","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":14,"title":["Application of OpenAI GPT-4 for the retrospective detection of catheter-associated urinary tract infections in a fictitious and curated patient data set"],"prefix":"10.1017","volume":"45","author":[{"given":"Jasmin","family":"Perret","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian","family":"Schmid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2023,9,7]]},"reference":[{"key":"S0899823X23001897_ref8","unstructured":"8. Epic and Microsoft Bring GPT-4 to EHRs. Epic website. https:\/\/www.epic.com\/epic\/post\/epic-and-microsoft-bring-gpt-4-to-ehrs. Published 2023. Accessed June 08, 2023."},{"key":"S0899823X23001897_ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12910-021-00687-3"},{"key":"S0899823X23001897_ref2","unstructured":"2. OpenAI. GPT-4 website. https:\/\/openai.com\/research\/gpt-4. Published 2023. Accessed May 1, 2023."},{"key":"S0899823X23001897_ref3","unstructured":"3. Harsha Nori, NK , Scott Mayer McKinney, Carignan, Dean , Horvitz, Eric . Capabilities of GPT-4 on medical challenge problems. Cornell University website. https:\/\/arxiv.org\/abs\/2303.13375. Published 2023. Accessed April 28, 2023."},{"key":"S0899823X23001897_ref1","doi-asserted-by":"publisher","DOI":"10.1017\/ash.2022.312"},{"key":"S0899823X23001897_ref4","unstructured":"4. National Healthcare Saftey Network. Urinary tract infection (catheter-associated urinary tract infection [CAUTI] and non\u2013catheter-associated urinary tract infection [UTI]) events. Center for Disease Control and Prevention website. https:\/\/www.cdc.gov\/nhsn\/pdfs\/pscmanual\/7psccauticurrent.pdf. 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Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America","name":"copyright","label":"Copyright","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http:\/\/creativecommons.org\/licenses\/by\/4.0\/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.","name":"license","label":"License","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}