{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T02:05:33Z","timestamp":1783908333644,"version":"3.55.0"},"reference-count":28,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Taiwan Adventist Hospital","award":["TCCTIC1122C005"],"award-info":[{"award-number":["TCCTIC1122C005"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study compared an image-based, artificial intelligence-driven instrument recognition and inventory system (AI-IRIS) with conventional manual counting (CMC) for postoperative instrument management in simulated settings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using a randomized crossover design, 34 operating room nurses completed two standardized counting scenarios with both methods and rated adoption using the Diffusion of Innovations Questionnaire (DOIQ).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Recognition accuracy was identical between AI-IRIS and CMC under controlled, simulated conditions. However, the AI-IRIS significantly reduced counting time by 26\u201328 seconds per scenario, representing an approximately 33\u201335% reduction compared with manual counting (both p &lt; 0.001), and achieved higher DOIQ scores (mean difference 7.9 points, p &lt; 0.001).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The AI-IRIS improved efficiency and user perception without compromising accuracy. These findings suggest potential to support safety-related counting processes and streamline workflows. Future research should assess its integration in real-world perioperative environments and across diverse instrument sets and pack configurations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/14604582261468225","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T07:05:51Z","timestamp":1783667151000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating artificial intelligence into surgical nursing workflows: Evaluation of an image-based Instrument verification system"],"prefix":"10.1177","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2926-7211","authenticated-orcid":false,"given":"Zu-Chun","family":"Lin","sequence":"first","affiliation":[{"name":"Tzu Chi University, Hualien City"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8568-5576","authenticated-orcid":false,"given":"Hui-Chien","family":"Hung","sequence":"additional","affiliation":[{"name":"Taiwan Adventist Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9242-9167","authenticated-orcid":false,"given":"Malcolm","family":"Koo","sequence":"additional","affiliation":[{"name":"Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation"},{"name":"University of Toronto"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5557-4874","authenticated-orcid":false,"given":"Yu-Ju","family":"Lin","sequence":"additional","affiliation":[{"name":"Taiwan Adventist Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7209-5027","authenticated-orcid":false,"given":"Tzu-Chuan","family":"Hsu","sequence":"additional","affiliation":[{"name":"Chung Shan Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,7,10]]},"reference":[{"key":"e_1_3_7_2_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamasurg.2015.0301"},{"key":"e_1_3_7_3_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13037-023-00356-x"},{"key":"e_1_3_7_4_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13037-023-00366-9"},{"key":"e_1_3_7_5_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13037-021-00297-3"},{"key":"e_1_3_7_6_2","doi-asserted-by":"publisher","DOI":"10.1308\/003588413X13511609957218"},{"key":"e_1_3_7_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/aorn.13804"},{"key":"e_1_3_7_8_2","volume-title":"WHO guidelines for safe surgery 2009: Safe surgery saves lives","author":"World Health Organization","year":"2009","unstructured":"World Health Organization. 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