{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T00:32:47Z","timestamp":1793147567847,"version":"4.5.0"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T00:00:00Z","timestamp":1783123200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T00:00:00Z","timestamp":1793145600000},"content-version":"vor","delay-in-days":116,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/00319\/2025"],"award-info":[{"award-number":["UID\/00319\/2025"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/00319\/2025"],"award-info":[{"award-number":["UID\/00319\/2025"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/00319\/2025"],"award-info":[{"award-number":["UID\/00319\/2025"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/00319\/2025"],"award-info":[{"award-number":["UID\/00319\/2025"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/00319\/2025"],"award-info":[{"award-number":["UID\/00319\/2025"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/00319\/2025"],"award-info":[{"award-number":["UID\/00319\/2025"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Data"],"DOI":"10.1038\/s41597-026-07679-1","type":"journal-article","created":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T17:04:43Z","timestamp":1783184683000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Curated endoscopic retrograde cholangiopancreatography images dataset"],"prefix":"10.1038","volume":"13","author":[{"given":"Alda Jo\u00e3o","family":"Andrade","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M\u00f3nica","family":"Martins","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9","family":"Ferreira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarc\u00edsio","family":"Ara\u00fajo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu\u00eds","family":"Lopes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor","family":"Alves","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,4]]},"reference":[{"key":"7679_CR1","doi-asserted-by":"publisher","unstructured":"Chi, J. Y., Ma, L. Y., Zou, J. C. & Ma, Y. F. Risk factors of pancreatitis after ERCP in patients with biliary tract diseases. BMC Surg. 23, https:\/\/doi.org\/10.1186\/S12893-023-01953-4 (2023).","DOI":"10.1186\/S12893-023-01953-4"},{"key":"7679_CR2","doi-asserted-by":"publisher","unstructured":"Brenner, T. et al. Development and validation of a machine learning-based, point-of-care risk calculator for post-ERCP pancreatitis. Gastrointest. Endosc. https:\/\/doi.org\/10.1016\/j.gie.2024.08.009 (2024).","DOI":"10.1016\/j.gie.2024.08.009"},{"key":"7679_CR3","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1159\/000543049","volume":"106","author":"K Vu Trung","year":"2025","unstructured":"Vu Trung, K. et al. Deep learning-based detection of malignant bile duct stenosis in fluoroscopy images of ERCP. Digestion 106, 287\u2013302, https:\/\/doi.org\/10.1159\/000543049 (2025).","journal-title":"Digestion"},{"key":"7679_CR4","doi-asserted-by":"publisher","first-page":"263177452199305","DOI":"10.1177\/2631774521993059","volume":"14","author":"H Goyal","year":"2021","unstructured":"Goyal, H. et al. Application of artificial intelligence in pancreaticobiliary diseases. Ther. Adv. Gastrointest. Endosc. 14, 2631774521993059, https:\/\/doi.org\/10.1177\/2631774521993059 (2021).","journal-title":"Ther. Adv. Gastrointest. Endosc."},{"key":"7679_CR5","doi-asserted-by":"publisher","first-page":"7519","DOI":"10.3390\/jcm14217519","volume":"14","author":"AV Bharwad","year":"2025","unstructured":"Bharwad, A. V. et al. Artificial Intelligence in Pancreatobiliary Endoscopy: Current Advances, Opportunities, and Challenges. J. Clin. Med. 14, 7519, https:\/\/doi.org\/10.3390\/jcm14217519 (2025).","journal-title":"J. Clin. Med."},{"key":"7679_CR6","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.gie.2014.01.023","volume":"80","author":"P Jovanovic","year":"2014","unstructured":"Jovanovic, P., Salkic, N. N. & Zerem, E. Artificial neural network predicts the need for therapeutic ERCP in patients with suspected choledocholithiasis. Gastrointest. Endosc. 80, 260\u2013268, https:\/\/doi.org\/10.1016\/j.gie.2014.01.023 (2014).","journal-title":"Gastrointest. Endosc."},{"key":"7679_CR7","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1038\/s41395-018-0268-4","volume":"114","author":"JK Ruffle","year":"2019","unstructured":"Ruffle, J. K., Farmer, A. D. & Aziz, Q. Artificial intelligence-assisted gastroenterology\u2014Promises and pitfalls. Am. J. Gastroenterol. 114, 422\u2013428, https:\/\/doi.org\/10.1038\/s41395-018-0268-4 (2019).","journal-title":"Am. J. Gastroenterol."},{"key":"7679_CR8","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-00622-y","volume":"7","author":"H Borgli","year":"2020","unstructured":"Borgli, H. et al. HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. Sci. Data 7, 283, https:\/\/doi.org\/10.1038\/s41597-020-00622-y (2020).","journal-title":"Sci. Data"},{"key":"7679_CR9","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-00920-z","volume":"8","author":"PH Smedsrud","year":"2021","unstructured":"Smedsrud, P. H. et al. Kvasir-Capsule, a video capsule endoscopy dataset. Sci. Data 8, 142, https:\/\/doi.org\/10.1038\/s41597-021-00920-z (2021).","journal-title":"Sci. Data"},{"key":"7679_CR10","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-04401-5","volume":"12","author":"D Bravo","year":"2025","unstructured":"Bravo, D. et al. GastroHUN: an Endoscopy Dataset of Complete Systematic Screening Protocol for the Stomach. Sci. Data 12, 102, https:\/\/doi.org\/10.1038\/s41597-025-04401-5 (2025).","journal-title":"Sci. Data"},{"key":"7679_CR11","doi-asserted-by":"publisher","unstructured":"Andrade, A. et al. MIQR-CC Dataset. figshare https:\/\/doi.org\/10.6084\/m9.figshare.31079236 (2026).","DOI":"10.6084\/m9.figshare.31079236"},{"key":"7679_CR12","doi-asserted-by":"publisher","unstructured":"Sandler, M. et al. MobileNetV2: Inverted residuals and linear bottlenecks. In Proc. IEEE Conf. Comput. Vis. Pattern Recognit. 4510\u20134520 https:\/\/doi.org\/10.1109\/CVPR.2018.00474 (2018).","DOI":"10.1109\/CVPR.2018.00474"},{"key":"7679_CR13","doi-asserted-by":"publisher","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L. & Weinberger, K. Q. Densely connected convolutional networks. In Proc. IEEE Conf. Comput. Vis. Pattern Recognit. 4700\u20134708, https:\/\/doi.org\/10.1109\/CVPR.2017.243 (2017).","DOI":"10.1109\/CVPR.2017.243"},{"key":"7679_CR14","doi-asserted-by":"publisher","unstructured":"He, K., Zhang, X., Ren, S. & Sun, J. Deep residual learning for image recognition. In Proc. IEEE Conf. Comput. Vis. Pattern Recognit. 770\u2013778, https:\/\/doi.org\/10.1109\/CVPR.2016.90 (2016).","DOI":"10.1109\/CVPR.2016.90"},{"key":"7679_CR15","doi-asserted-by":"publisher","unstructured":"Tan, M. & Le, Q. V. EfficientNet: Rethinking model scaling for convolutional neural networks. In Proc. Int. Conf. Mach. Learn. https:\/\/doi.org\/10.48550\/arXiv.1905.11946 (2019).","DOI":"10.48550\/arXiv.1905.11946"},{"key":"7679_CR16","doi-asserted-by":"publisher","unstructured":"Touvron, H. et al. DeiT III: Revenge of the ViT. arXiv 2204.07118 https:\/\/doi.org\/10.48550\/arXiv.2204.07118 (2022).","DOI":"10.48550\/arXiv.2204.07118"}],"container-title":["Scientific Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07679-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07679-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07679-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T23:39:53Z","timestamp":1793144393000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07679-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,4]]},"references-count":16,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["7679"],"URL":"https:\/\/doi.org\/10.1038\/s41597-026-07679-1","relation":{},"ISSN":["2052-4463"],"issn-type":[{"value":"2052-4463","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,4]]},"assertion":[{"value":"26 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Ethics"}}],"article-number":"1485"}}