{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T05:38:27Z","timestamp":1767418707727,"version":"3.48.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032049803"},{"type":"electronic","value":"9783032049810"}],"license":[{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-04981-0_21","type":"book-chapter","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T05:09:43Z","timestamp":1758258583000},"page":"216-225","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning"],"prefix":"10.1007","author":[{"given":"Haoyue","family":"Guan","sequence":"first","affiliation":[]},{"given":"Yuwei","family":"Dai","sequence":"additional","affiliation":[]},{"given":"Shadi","family":"Afyouni","sequence":"additional","affiliation":[]},{"given":"Alec","family":"Kain","sequence":"additional","affiliation":[]},{"given":"Wen-Chi","family":"Hsu","sequence":"additional","affiliation":[]},{"given":"Jiashu","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Sophie","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Yuli","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Rishitha","family":"Pulakhandam","sequence":"additional","affiliation":[]},{"given":"Lin-Mei","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Chengzhang","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Zhicheng","family":"Jiao","sequence":"additional","affiliation":[]},{"given":"Craig","family":"Jones","sequence":"additional","affiliation":[]},{"given":"Harrison","family":"Bai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,20]]},"reference":[{"key":"21_CR1","unstructured":"Datasaur, inc., sunnyvale, california, united states. datasaur, 2019"},{"key":"21_CR2","doi-asserted-by":"publisher","first-page":"66","DOI":"10.3389\/fmed.2019.00066","volume":"6","author":"M Assale","year":"2019","unstructured":"Assale, M., Dui, L.G., Cina, A., Seveso, A., Cabitza, F.: The revival of the notes field: leveraging the unstructured content in electronic health records. Front. Med. 6, 66 (2019)","journal-title":"Front. Med."},{"key":"21_CR3","doi-asserted-by":"publisher","unstructured":"Boecking, B., Usuyama, N., Bannur, S., Castro, D.C., Schwaighofer, A., Hyland, S., Wetscherek, M., Naumann, T., Nori, A., Alvarez-Valle, J., Poon, H., Oktay, O.: Making the most of text semantics to improve biomedical vision-language processing (2022). https:\/\/doi.org\/10.48550\/ARXIV.2204.09817, https:\/\/arxiv.org\/abs\/2204.09817","DOI":"10.48550\/ARXIV.2204.09817"},{"key":"21_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101797","volume":"66","author":"A Bustos","year":"2020","unstructured":"Bustos, A., Pertusa, A., Salinas, J.M., De La Iglesia-Vaya, M.: Padchest: A large chest x-ray image dataset with multi-label annotated reports. Med. Image Anal. 66, 101797 (2020)","journal-title":"Med. Image Anal."},{"key":"21_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-019-3321-4","volume":"20","author":"H Cho","year":"2019","unstructured":"Cho, H., Lee, H.: Biomedical named entity recognition using deep neural networks with contextual information. BMC Bioinformatics 20, 1\u201311 (2019)","journal-title":"BMC Bioinformatics"},{"key":"21_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103473","volume":"108","author":"S Datta","year":"2020","unstructured":"Datta, S., Si, Y., Rodriguez, L., Shooshan, S.E., Demner-Fushman, D., Roberts, K.: Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest x-ray reports using deep learning. J. Biomed. Inform. 108, 103473 (2020)","journal-title":"J. Biomed. Inform."},{"key":"21_CR7","doi-asserted-by":"publisher","unstructured":"Delbrouck, J.B., Chambon, P., Bluethgen, C., Tsai, E., Almusa, O., Langlotz, C.: Improving the factual correctness of radiology report generation with semantic rewards. In: Goldberg, Y., Kozareva, Z., Zhang, Y. (eds.) Findings of the Association for Computational Linguistics: EMNLP 2022. pp. 4348\u20134360. Association for Computational Linguistics, Abu Dhabi, United Arab Emirates (Dec 2022https:\/\/doi.org\/10.18653\/v1\/2022.findings-emnlp.319, https:\/\/aclanthology.org\/2022.findings-emnlp.319\/","DOI":"10.18653\/v1\/2022.findings-emnlp.319"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Delbrouck, J.B., Chambon, P., Chen, Z., Varma, M., Johnston, A., Blankemeier, L., Van\u00a0Veen, D., Bui, T., Truong, S., Langlotz, C.: Radgraph-xl: A large-scale expert-annotated dataset for entity and relation extraction from radiology reports. In: Findings of the Association for Computational Linguistics ACL 2024. pp. 12902\u201312915 (2024)","DOI":"10.18653\/v1\/2024.findings-acl.765"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Du, N., Chen, K., Kannan, A., Tran, L., Chen, Y., Shafran, I.: Extracting symptoms and their status from clinical conversations. arXiv preprint arXiv:1906.02239 (2019)","DOI":"10.18653\/v1\/P19-1087"},{"key":"21_CR10","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.neunet.2019.08.032","volume":"121","author":"L Gligic","year":"2020","unstructured":"Gligic, L., Kormilitzin, A., Goldberg, P., Nevado-Holgado, A.: Named entity recognition in electronic health records using transfer learning bootstrapped neural networks. Neural Netw. 121, 132\u2013139 (2020)","journal-title":"Neural Netw."},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Gu, Y., Tinn, R., Cheng, H., Lucas, M., Usuyama, N., Liu, X., Naumann, T., Gao, J., Poon, H.: Domain-specific language model pretraining for biomedical natural language processing (2020)","DOI":"10.1145\/3458754"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et\u00a0al.: Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison. In: Proceedings of the AAAI conference on artificial intelligence. vol.\u00a033, pp. 590\u2013597 (2019)","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Jagannatha, A.N., Yu, H.: Bidirectional rnn for medical event detection in electronic health records. In: Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting. vol.\u00a02016, p.\u00a0473. NIH Public Access (2016)","DOI":"10.18653\/v1\/N16-1056"},{"key":"21_CR14","unstructured":"Jain, S., Agrawal, A., Saporta, A., Truong, S.Q., Duong, D.N., Bui, T., Chambon, P., Zhang, Y., Lungren, M.P., Ng, A.Y., Langlotz, C.P., Rajpurkar, P.: Radgraph: Extracting clinical entities and relations from radiology reports (2021), https:\/\/arxiv.org\/abs\/2106.14463"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Johnson, A.E., Pollard, T.J., Berkowitz, S.J., Greenbaum, N.R., Lungren, M.P., Deng, C.y., Mark, R.G., Horng, S.: Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports. Scientific data 6(1), 317 (2019)","DOI":"10.1038\/s41597-019-0322-0"},{"key":"21_CR16","unstructured":"Khanna, S., Dejl, A., Yoon, K., Truong, Q.H., Duong, H., Saenz, A., Rajpurkar, P.: Radgraph2: Modeling disease progression in radiology reports via hierarchical information extraction (2023), https:\/\/arxiv.org\/abs\/2308.05046"},{"key":"21_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2022.100511","volume":"46","author":"I Li","year":"2022","unstructured":"Li, I., Pan, J., Goldwasser, J., Verma, N., Wong, W.P., Nuzumlal\u0131, M.Y., Rosand, B., Li, Y., Zhang, M., Chang, D., et al.: Neural natural language processing for unstructured data in electronic health records: a review. Computer Science Review 46, 100511 (2022)","journal-title":"Computer Science Review"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Lin, Y., Liu, Z., Sun, M.: Neural relation extraction with multi-lingual attention. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 34\u201343 (2017)","DOI":"10.18653\/v1\/P17-1004"},{"key":"21_CR19","doi-asserted-by":"publisher","unstructured":"Pyae\u00a0Khin, N.P., Lynn, K.T.: Medical concept extraction: A comparison of statistical and semantic methods. In: 2017 18th IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD). pp. 35\u201338 (2017).https:\/\/doi.org\/10.1109\/SNPD.2017.8022697","DOI":"10.1109\/SNPD.2017.8022697"},{"issue":"9","key":"21_CR20","doi-asserted-by":"publisher","first-page":"836","DOI":"10.1016\/j.jacr.2023.06.015","volume":"20","author":"S Tripathi","year":"2023","unstructured":"Tripathi, S., Gabriel, K., Dheer, S., Parajuli, A., Augustin, A.I., Elahi, A., Awan, O., Dako, F.: Understanding biases and disparities in radiology ai datasets: a review. J. Am. Coll. Radiol. 20(9), 836\u2013841 (2023)","journal-title":"J. Am. Coll. Radiol."},{"key":"21_CR21","unstructured":"Vaswani, A.: Attention is all you need. Advances in Neural Information Processing Systems (2017)"},{"key":"21_CR22","doi-asserted-by":"crossref","unstructured":"Wadden, D., Wennberg, U., Luan, Y., Hajishirzi, H.: Entity, relation, and event extraction with contextualized span representations. CoRR abs\/1909.03546 (2019), http:\/\/arxiv.org\/abs\/1909.03546","DOI":"10.18653\/v1\/D19-1585"},{"key":"21_CR23","doi-asserted-by":"publisher","unstructured":"Yan, B., Liu, R., Kuo, D., Adithan, S., Reis, E., Kwak, S., Venugopal, V., O\u2019Connell, C., Saenz, A., Rajpurkar, P., Moor, M.: Style-aware radiology report generation with RadGraph and few-shot prompting. In: Bouamor, H., Pino, J., Bali, K. (eds.) Findings of the Association for Computational Linguistics: EMNLP 2023. pp. 14676\u201314688. Association for Computational Linguistics, Singapore (Dec 2023https:\/\/doi.org\/10.18653\/v1\/2023.findings-emnlp.977, https:\/\/aclanthology.org\/2023.findings-emnlp.977\/","DOI":"10.18653\/v1\/2023.findings-emnlp.977"},{"key":"21_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102510","volume":"80","author":"S Yang","year":"2022","unstructured":"Yang, S., Wu, X., Ge, S., Zhou, S.K., Xiao, L.: Knowledge matters: Chest radiology report generation with general and specific knowledge. Med. Image Anal. 80, 102510 (2022). https:\/\/doi.org\/10.1016\/j.media.2022.102510","journal-title":"Med. Image Anal."},{"key":"21_CR25","unstructured":"Zheng, S., Wang, F., Bao, H., Hao, Y., Zhou, P., Xu, B.: Joint extraction of entities and relations based on a novel tagging scheme. CoRR abs\/1706.05075 (2017), http:\/\/arxiv.org\/abs\/1706.05075"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04981-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T05:34:00Z","timestamp":1767418440000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04981-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,20]]},"ISBN":["9783032049803","9783032049810"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04981-0_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,9,20]]},"assertion":[{"value":"20 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}