{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T10:45:13Z","timestamp":1791283513404,"version":"4.1.0"},"reference-count":29,"publisher":"Radiological Society of North America (RSNA)","issue":"3","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82171960"],"award-info":[{"award-number":["82171960"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82272076"],"award-info":[{"award-number":["82272076"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371983"],"award-info":[{"award-number":["82371983"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong","doi-asserted-by":"publisher","award":["2021B1515120030"],"award-info":[{"award-number":["2021B1515120030"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2021A1515110107"],"award-info":[{"award-number":["2021A1515110107"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Radiology: Artificial Intelligence"],"published-print":{"date-parts":[[2025,5,1]]},"abstract":"<jats:p> The adaptive dual-task deep learning model, ThyNet-S, demonstrated exceptional performance in enhancing thyroid cancer US screening efficiency and improved clinical decision-making. <\/jats:p>","DOI":"10.1148\/ryai.240271","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T17:53:31Z","timestamp":1744221211000},"source":"Crossref","is-referenced-by-count":11,"title":["Adaptive Dual-Task Deep Learning for Automated Thyroid Cancer Triaging at Screening US"],"prefix":"10.1148","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3291-6115","authenticated-orcid":false,"given":"Shao-Hong","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University; Ultrasomics Artificial Intelligence X-Laboratory, MedAI Collaborative Laboratory, Guangzhou 510080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0121-7968","authenticated-orcid":false,"given":"Ming-De","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University; Ultrasomics Artificial Intelligence X-Laboratory, MedAI Collaborative Laboratory, Guangzhou 510080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0400-0908","authenticated-orcid":false,"given":"Wen-Juan","family":"Tong","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University; Ultrasomics Artificial Intelligence X-Laboratory, MedAI Collaborative Laboratory, Guangzhou 510080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3270-9797","authenticated-orcid":false,"given":"Yi-Hao","family":"Liu","sequence":"additional","affiliation":[{"name":"Clinical Trials Unit, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China"},{"name":"Department of Endocrinology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Cui","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin-Bo","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Electronic Information, Guangxi Minzu University, Nanning, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1725-3608","authenticated-orcid":false,"given":"Mei-Qing","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University; Ultrasomics Artificial Intelligence X-Laboratory, MedAI Collaborative Laboratory, Guangzhou 510080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4764-2750","authenticated-orcid":false,"given":"Wei-Ping","family":"Ke","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University; Ultrasomics Artificial Intelligence X-Laboratory, MedAI Collaborative Laboratory, Guangzhou 510080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4259-9453","authenticated-orcid":false,"given":"Xin-Xin","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University; Ultrasomics Artificial Intelligence X-Laboratory, MedAI Collaborative Laboratory, Guangzhou 510080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0352-7543","authenticated-orcid":false,"given":"Jia-Yi","family":"Lv","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4639-1767","authenticated-orcid":false,"given":"Long-Zhong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Sun Yat-sen University Cancer Center, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2599-9001","authenticated-orcid":false,"given":"Jie","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5224-008X","authenticated-orcid":false,"given":"Guang-Jian","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9873-1631","authenticated-orcid":false,"given":"Hong","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9485-583X","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University; Ultrasomics Artificial Intelligence X-Laboratory, MedAI Collaborative Laboratory, Guangzhou 510080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1577","reference":[{"key":"r1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"r2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21834"},{"key":"r3","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"r4","doi-asserted-by":"publisher","DOI":"10.1089\/thy.2015.0020"},{"key":"r5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2017.01.046"},{"key":"r6","doi-asserted-by":"publisher","DOI":"10.1530\/EJE-20-0682"},{"key":"r7","doi-asserted-by":"publisher","DOI":"10.1210\/clinem\/dgz170"},{"key":"r8","doi-asserted-by":"publisher","DOI":"10.1089\/thy.2020.0305"},{"key":"r9","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(22)00088-7"},{"key":"r10","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18147-8"},{"key":"r11","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(22)00070-X"},{"key":"r12","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-26023-2"},{"key":"r13","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.210948"},{"key":"r14","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(20)30185-0"},{"key":"r15","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019182908"},{"key":"r16","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(21)00041-8"},{"key":"r17","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2018.0898"},{"key":"r18","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.i189"},{"key":"r19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2019.05.012"},{"key":"r20","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2021203555"},{"key":"r21","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-023-00797-9"},{"key":"r22","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-07884-z"},{"key":"r23","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020203782"},{"key":"r24","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.220182"},{"key":"r25","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(20)30160-6"},{"key":"r26","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-41754-0"},{"key":"r27","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.21.01337"},{"key":"r28","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019182128"},{"key":"r29","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2362.2009.02162.x"}],"container-title":["Radiology: Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/pubs.rsna.org\/doi\/pdf\/10.1148\/ryai.240271","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T13:53:05Z","timestamp":1747835585000},"score":1,"resource":{"primary":{"URL":"http:\/\/pubs.rsna.org\/doi\/10.1148\/ryai.240271"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,1]]},"references-count":29,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,5,1]]}},"alternative-id":["10.1148\/ryai.240271"],"URL":"https:\/\/doi.org\/10.1148\/ryai.240271","relation":{},"ISSN":["2638-6100"],"issn-type":[{"value":"2638-6100","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,1]]},"article-number":"e240271"}}