{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T08:09:39Z","timestamp":1773821379798,"version":"3.50.1"},"reference-count":27,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T00:00:00Z","timestamp":1773792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Radiol."],"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To evaluate whether Vis-BUS, a commercial artificial intelligence (AI) breast ultrasound detection and analysis software, improves diagnostic discrimination and interpretation efficiency in breast ultrasound examinations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>This retrospective multi-reader study included 258 breast ultrasound examinations (129 malignant and 129 benign lesions). Six radiologists independently interpreted all cases without AI and, after a two-week washout, with AI assistance. Diagnostic performance metrics, including the area under the receiver operating characteristic curve (AUROC), area under the precision\u2013recall curve (AUPRC), accuracy, sensitivity, and specificity, were compared using multi-reader analysis. Median interpretation time per case was recorded and compared using paired statistical tests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Vis-BUS assistance modestly increased the pooled AUROC (0.921 vs. 0.953,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.002) and reduced median reading time (6.0 vs. 3.0 s,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.001), whereas AUPRC, accuracy, sensitivity, and specificity did not differ significantly (all\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;gt;\u20090.06). Accuracy (79.1% vs. 83.9%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.061), sensitivity (94.2% vs. 96.3%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.243), and specificity (64.0% vs. 71.6%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.069) showed no significant differences. Median interpretation time decreased from 6.0 to 3.0\u2005s (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.001). Subgroup analyses demonstrated significant AUROC improvements for dense breasts and tumors \u2264 2\u2005cm (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.001 for both).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Vis-BUS AI assistance was associated with improved diagnostic discrimination and shorter interpretation time. However, accuracy, sensitivity, and specificity did not differ significantly. These findings suggest potential efficiency benefits, while the clinical impact remains to be confirmed in prospective multi-center studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fradi.2026.1747783","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T07:11:47Z","timestamp":1773817907000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial intelligence\u2013assisted breast ultrasound: modest AUROC improvement and shorter interpretation time without significant change in diagnostic accuracy"],"prefix":"10.3389","volume":"6","author":[{"given":"Hyuksool","family":"Kwon","sequence":"first","affiliation":[{"name":"Laboratory of Quantitative Ultrasound Imaging, Seoul National University Bundang Hospital","place":["Seongnam, Republic of Korea"]},{"name":"Imaging Division, Department of Emergency Medicine, Seoul National University Bundang Hospital","place":["Seongnam, Republic of Korea"]},{"name":"Barreleye Inc.","place":["Seoul, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sun Mi","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine","place":["Seongnam, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seok Hwan","family":"Oh","sequence":"additional","affiliation":[{"name":"Laboratory of Quantitative Ultrasound Imaging, Seoul National University Bundang Hospital","place":["Seongnam, Republic of Korea"]},{"name":"Barreleye Inc.","place":["Seoul, Republic of Korea"]},{"name":"Electrical Engineering Department, Korea Advanced Institute of Science and Technology","place":["Daejeon, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mijung","family":"Jang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine","place":["Seongnam, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myeong-Gee","family":"Kim","sequence":"additional","affiliation":[{"name":"Laboratory of Quantitative Ultrasound Imaging, Seoul National University Bundang Hospital","place":["Seongnam, Republic of Korea"]},{"name":"Barreleye Inc.","place":["Seoul, Republic of Korea"]},{"name":"Electrical Engineering Department, Korea Advanced Institute of Science and Technology","place":["Daejeon, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyeon-Min","family":"Bae","sequence":"additional","affiliation":[{"name":"Barreleye Inc.","place":["Seoul, Republic of Korea"]},{"name":"Electrical Engineering Department, Korea Advanced Institute of Science and Technology","place":["Daejeon, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang Il","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine","place":["Seongnam, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Su Min","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine","place":["Seongnam, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngmin","family":"Kim","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Korea Advanced Institute of Science and Technology","place":["Daejeon, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guil","family":"Jung","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Korea Advanced Institute of Science and Technology","place":["Daejeon, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyeon-Jik","family":"Lee","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Korea Advanced Institute of Science and Technology","place":["Daejeon, Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang-Yun","family":"Kim","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Korea Advanced Institute of Science and Technology","place":["Daejeon, Republic of 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