{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T22:11:18Z","timestamp":1790201478121,"version":"4.1.0"},"reference-count":13,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biomedical Informatics"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.jbi.2026.105068","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T18:05:00Z","timestamp":1781201100000},"page":"105068","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Deep learning applications in cancer treatment Prediction: Comprehensive research foundation for systematic review and Meta-Analysis"],"prefix":"10.1016","volume":"180","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9404-9005","authenticated-orcid":false,"given":"Sezai","family":"Tunca","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yavuz Selim","family":"Balcioglu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.Ozge","family":"Elmas-Cecen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jbi.2026.105068_b0020","doi-asserted-by":"crossref","unstructured":"Jiang, X., Hu, Z., Wang, S., & Zhang, Y. (2023). Deep Learning for Medical Image-Based Cancer Diagnosis [Review of Deep Learning for Medical Image-Based Cancer Diagnosis]. Cancers, 15(14), 3608. Multidisciplinary Digital Publishing Institute. https:\/\/doi.org\/10.3390\/cancers15143608.","DOI":"10.3390\/cancers15143608"},{"key":"10.1016\/j.jbi.2026.105068_b0055","article-title":"The Application of Artificial Intelligence to Cancer Research: a Comprehensive Guide","volume":"23","author":"Shirazi","year":"2024","journal-title":"Technol. Cancer Res. Treat."},{"key":"10.1016\/j.jbi.2026.105068_b0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.techsoc.2019.101198","article-title":"Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence","volume":"60","author":"Coccia","year":"2020","journal-title":"Technol. Soc."},{"key":"10.1016\/j.jbi.2026.105068_b0015","article-title":"Advanced deep learning and large language models: Comprehensive insights for cancer detection","volume":"105495","author":"Habchi","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.jbi.2026.105068_b0030","article-title":"Federated learning for computational pathology on gigapixel whole slide images","volume":"76","author":"Lu","year":"2021","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.jbi.2026.105068_b0025","doi-asserted-by":"crossref","unstructured":"Li, M., Jiang, Y., Zhang, Y., & Haisheng, Z. (2023). Medical image analysis using deep learning algorithms [Review of Medical image analysis using deep learning algorithms]. Frontiers in Public Health, 11. Frontiers Media. https:\/\/doi.org\/10.3389\/fpubh.2023.1273253.","DOI":"10.3389\/fpubh.2023.1273253"},{"issue":"1","key":"10.1016\/j.jbi.2026.105068_b0070","article-title":"Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome","volume":"8","author":"Wang","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jbi.2026.105068_b0060","article-title":"Deep Learning Approaches for Medical image Analysis and Diagnosis","author":"Thakur","year":"2024","journal-title":"Cureus"},{"issue":"12","key":"10.1016\/j.jbi.2026.105068_b0040","doi-asserted-by":"crossref","first-page":"1435","DOI":"10.3390\/bioengineering10121435","article-title":"How Artificial Intelligence is Shaping Medical Imaging Technology: a Survey of Innovations and applications","volume":"10","author":"Pinto-Coelho","year":"2023","journal-title":"Bioengineering"},{"key":"10.1016\/j.jbi.2026.105068_b0035","doi-asserted-by":"crossref","unstructured":"Patel, S. K., George, B., & Rai, V. (2020). Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology [Review of Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology]. Frontiers in Pharmacology, 11. Frontiers Media. https:\/\/doi.org\/10.3389\/fphar.2020.01177.","DOI":"10.3389\/fphar.2020.01177"},{"key":"10.1016\/j.jbi.2026.105068_b0065","doi-asserted-by":"crossref","unstructured":"Tiwari, A., Mishra, S. N., & Kuo, T. (2025). Current AI technologies in cancer diagnostics and treatment [Review of Current AI technologies in cancer diagnostics and treatment]. Molecular Cancer, 24(1). BioMed Central. https:\/\/doi.org\/10.1186\/s12943-025-02369-9.","DOI":"10.1186\/s12943-025-02369-9"},{"key":"10.1016\/j.jbi.2026.105068_b0045","article-title":"Calculating the sample size required for developing a clinical prediction model","volume":"368","author":"Riley","year":"2019","journal-title":"BMJ"},{"key":"10.1016\/j.jbi.2026.105068_b0050","doi-asserted-by":"crossref","unstructured":"S, Y. K., Jeya, J. J., Mahesh, T. R., Bhatia, S., Alzahrani, S., & Alojail, M. (2024). Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. BMC Medical Imaging, 24(1). https:\/\/doi.org\/10.1186\/s12880-024-01345-x.","DOI":"10.1186\/s12880-024-01381-7"}],"container-title":["Journal of Biomedical Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046426000924?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046426000924?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T11:26:09Z","timestamp":1784114769000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1532046426000924"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":13,"alternative-id":["S1532046426000924"],"URL":"https:\/\/doi.org\/10.1016\/j.jbi.2026.105068","relation":{},"ISSN":["1532-0464"],"issn-type":[{"value":"1532-0464","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Deep learning applications in cancer treatment Prediction: Comprehensive research foundation for systematic review and Meta-Analysis","name":"articletitle","label":"Article Title"},{"value":"Journal of Biomedical Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jbi.2026.105068","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"105068"}}