{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T23:01:33Z","timestamp":1792796493950,"version":"4.5.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["81572533"],"award-info":[{"award-number":["81572533"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["50775011"],"award-info":[{"award-number":["50775011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Beijing Natural Sciences Foundation","award":["7182078"],"award-info":[{"award-number":["7182078"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-05527-7","type":"journal-article","created":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T22:12:59Z","timestamp":1751407979000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy"],"prefix":"10.1038","volume":"15","author":[{"given":"Guanmeng","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zihan","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Pei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yajie","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beiying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,1]]},"reference":[{"key":"5527_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fcimb.2022.880636","volume":"12","author":"X Wu","year":"2022","unstructured":"Wu, X. et al. A Multi-Omics study on the effect of Helicobacter Pylori-Related genes in the tumor immunity on stomach adenocarcinoma. Front. Cell. Infect. Microbiol. 12, 1\u201320. https:\/\/doi.org\/10.3389\/fcimb.2022.880636 (2022).","journal-title":"Front. Cell. Infect. Microbiol."},{"issue":"1","key":"5527_CR2","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1186\/s12876-023-02890-5","volume":"23","author":"XD Zhang","year":"2023","unstructured":"Zhang, X. D. et al. Ilaprazole-amoxicillin dual therapy at high dose as a first-line treatment for helicobacter pylori infection in hainan: a single-center, open-label, noninferiority, randomized controlled trial. BMC Gastroenterol. 23 (1), 249\u2013259. https:\/\/doi.org\/10.1186\/s12876-023-02890-5 (2023).","journal-title":"BMC Gastroenterol."},{"issue":"4","key":"5527_CR3","doi-asserted-by":"publisher","first-page":"309","DOI":"10.15430\/JCP.2014.19.4.309","volume":"19","author":"YH Kwon","year":"2014","unstructured":"Kwon, Y. H. et al. The diagnostic validity of the (13)c-urea breath test in the gastrectomized patients: single tertiary center retrospective cohort study. J. Cancer Prev. 19 (4), 309\u2013317. https:\/\/doi.org\/10.15430\/JCP.2014.19.4.309 (2014).","journal-title":"J. Cancer Prev."},{"key":"5527_CR4","doi-asserted-by":"publisher","unstructured":"Franklin, M. M. et al. A deep learning convolutional neural network can differentiate between Helicobacter Pylori gastritis and autoimmune gastritis with results comparable to Gastrointestinal pathologists. Arch. Pathol. Lab. Med. 146 (1). https:\/\/doi.org\/10.5858\/arpa.2020-0520-OA (2022).","DOI":"10.5858\/arpa.2020-0520-OA"},{"key":"5527_CR5","doi-asserted-by":"publisher","unstructured":"David, R. et al. Clark. A deep learning convolutional neural network can recognize common patterns of injury in gastric pathology. Arch. Pathol. Lab. Med. 2019\/06 \/28;144:1\u20139. https:\/\/doi.org\/10.5858\/arpa.2019-0004-OA","DOI":"10.5858\/arpa.2019-0004-OA"},{"key":"5527_CR6","doi-asserted-by":"publisher","unstructured":"Cameron, P. H. et al. MacDonald, Yun, Liu, Shiro, Kadowaki, Kunal, Nagpal, Timo, Kohlberger, Jeffrey, Dean, Stumpe. An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis. Nat Med 2019\/08\/14;25:1453\u20131457. https:\/\/doi.org\/10.1038\/s41591-019-0539-7","DOI":"10.1038\/s41591-019-0539-7"},{"key":"5527_CR7","doi-asserted-by":"publisher","unstructured":"de Kevin, H. & Koydemir, C. Yair, rivenson, derek, tseng, elizabeth, Van dyne, lissette, bakic, doruk, karinca, kyle, liang, megha, ilango, esin, gumustekin, aydogan, ozcan. Automated screening of sickle cells using a smartphone-based microscope and deep learning. NPJ Digit. Med. 2020\/06 \/09;3:1\u20138. https:\/\/doi.org\/10.1038\/s41746-020-0282-y","DOI":"10.1038\/s41746-020-0282-y"},{"key":"5527_CR8","doi-asserted-by":"publisher","unstructured":"Weisong, W., Wang, L., Liu, Y. & Yuchang, H. Improving the detection of Helicobacter pylori in biopsies of chronic gastritis: a comparative analysis of H&E, methylene blue, Warthin-Starry, immunohistochemistry, and quantum Dots immunohistochemistry. Front. Oncol. 2023\/08\/ 03;13: 1\u20139. https:\/\/doi.org\/10.3389\/fonc.2023.1229871","DOI":"10.3389\/fonc.2023.1229871"},{"key":"5527_CR9","doi-asserted-by":"publisher","first-page":"32","DOI":"10.32074\/1591-951X-751","volume":"114","author":"DS Liscia","year":"2022","unstructured":"Liscia, D. S. et al. Use of digital pathology and artificial intelligence for the diagnosis of Helicobacter pylori in gastric biopsies. Pathologica 114, 32\u201340. https:\/\/doi.org\/10.32074\/1591-951X-751 (2022).","journal-title":"Pathologica"},{"issue":"9","key":"5527_CR10","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1002\/acm2.13001","volume":"21","author":"S Ma","year":"2020","unstructured":"Ma, S., Huang, Y., Che, X. & Gu, R. Faster RCNN-based detection of cervical spinal cord injury and disc degeneration. J. Appl. Clin. Med. Phys. 21 (9), 235\u2013243. https:\/\/doi.org\/10.1002\/acm2.13001 (2020).","journal-title":"J. Appl. Clin. Med. Phys."},{"key":"5527_CR11","doi-asserted-by":"publisher","first-page":"14581","DOI":"10.3390\/ijms232314581","volume":"23","author":"WG Gon\u00e7alves","year":"2022","unstructured":"Gon\u00e7alves, W. G. et al. .d. DeepHP: A new gastric mucosa histopathology dataset for Helicobacter pylori infection diagnosis. Int. J. Mol. Sci. 23, 14581. https:\/\/doi.org\/10.3390\/ijms232314581 (2022).","journal-title":"Int. J. Mol. Sci."},{"key":"5527_CR12","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.ygyno.2020.07.099","volume":"159","author":"H Bao","year":"2020","unstructured":"Bao, H. et al. Artificial intelligence\u2013assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: a multicenter, clinical-based, observational study. Gynecol. Oncol. 159, 171\u2013178. https:\/\/doi.org\/10.1016\/j.ygyno.2020.07.099 (2020).","journal-title":"Gynecol. Oncol."},{"key":"5527_CR13","doi-asserted-by":"publisher","first-page":"43","DOI":"10.4103\/jpi.jpi_43_18","volume":"9","author":"P Sanyal","year":"2018","unstructured":"Sanyal, P. et al. Artificial intelligence in cytopathology: a neural network to identify papillary carcinoma on thyroid fine-needle aspiration cytology smears. J. Pathol. Inf. 9, 43. https:\/\/doi.org\/10.4103\/jpi.jpi_43_18 (2018).","journal-title":"J. Pathol. Inf."},{"key":"5527_CR14","doi-asserted-by":"publisher","first-page":"183","DOI":"10.5152\/dir.2019.19125","volume":"25","author":"SA Harmon","year":"2019","unstructured":"Harmon, S. A. et al. Artificial intelligence at the intersection of pathology and radiology in prostate cancer. Diagn. Interv Radiol. 25, 183\u2013188. https:\/\/doi.org\/10.5152\/dir.2019.19125 (2019).","journal-title":"Diagn. Interv Radiol."},{"key":"5527_CR15","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/S1470-2045(19)30738-7","volume":"21","author":"P Str\u00f6m","year":"2020","unstructured":"Str\u00f6m, P. et al. Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study. Lancet Oncol. 21, 222\u2013232. https:\/\/doi.org\/10.1016\/S1470-2045(19)30738-7 (2020).","journal-title":"Lancet Oncol."},{"key":"5527_CR16","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1002\/cncy.22176","volume":"127","author":"AB Sanghvi","year":"2019","unstructured":"Sanghvi, A. B. et al. Performance of an artificial intelligence algorithm for reporting urine cytopathology. Cancer Cytopathol. 127, 658\u2013666. https:\/\/doi.org\/10.1002\/cncy.22176 (2019).","journal-title":"Cancer Cytopathol."},{"issue":"9","key":"5527_CR17","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1002\/cncy.22425","volume":"129","author":"T Hong-Ping","year":"2021","unstructured":"Hong-Ping, T. et al. Han. Cervical cytology screening facilitated by an artificial intelligence microscope: A preliminary study. Cancer Cytopathol. 129 (9), 693\u2013700. https:\/\/doi.org\/10.1002\/cncy.22425 (2021).","journal-title":"Cancer Cytopathol."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05527-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05527-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05527-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T22:13:00Z","timestamp":1751407980000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05527-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,1]]},"references-count":17,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["5527"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-05527-7","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,1]]},"assertion":[{"value":"25 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there are no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"22394"}}