{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T14:20:13Z","timestamp":1783434013910,"version":"3.54.6"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032308122","type":"print"},{"value":"9783032308139","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-30813-9_63","type":"book-chapter","created":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T14:10:59Z","timestamp":1783433459000},"page":"341-345","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AI-Driven Literature Term Extraction for\u00a0Optimizing Laboratory Data Capture and\u00a0Prioritization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4504-9775","authenticated-orcid":false,"given":"A\u00edda","family":"Mu\u00f1oz Monjas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1880-8019","authenticated-orcid":false,"given":"David","family":"Rubio Ruiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9021-2597","authenticated-orcid":false,"given":"David","family":"Perez-Rey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8161-1986","authenticated-orcid":false,"given":"Kinwei Arnold","family":"Chan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7737-8752","authenticated-orcid":false,"given":"Matvey B.","family":"Palchuk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,8]]},"reference":[{"key":"63_CR1","doi-asserted-by":"crossref","unstructured":"Goel, M., et al.: Deep learning based named entity recognition models for recipes. ACL Anthol., 4542\u20134554 (2024)","DOI":"10.63317\/5bz5ysxiax9e"},{"key":"63_CR2","doi-asserted-by":"crossref","unstructured":"Labrak, Y., Bazoge, A., Morin, E., Gourraud, P.A., Rouvier, M., Dufour, R.: Biomistral: a collection of open-source pretrained large language models for medical domains (2024)","DOI":"10.18653\/v1\/2024.findings-acl.348"},{"issue":"2","key":"63_CR3","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1093\/jamia\/ocac215","volume":"30","author":"CJ McDonald","year":"2023","unstructured":"McDonald, C.J., et al.: Mis-mappings between a producer\u2019s quantitative test codes and LOINC codes and an algorithm for correcting them. J. Am. Med. Inform. Assoc. 30(2), 301\u2013307 (2023). https:\/\/doi.org\/10.1093\/jamia\/ocac215","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"63_CR4","doi-asserted-by":"publisher","unstructured":"Naliyatthaliyazchayil, P., Sangam, V.R., Amlung, J., Kanter, A.S., Purkayastha, S., Payne, J.: Automated logical observation identifiers names and codes mapping with biomedical natural language processing models: enabling scalable health information exchange via the Open Concept Lab. J. Am. Med. Inform. Assoc., ocag010 (2026). https:\/\/doi.org\/10.1093\/jamia\/ocag010","DOI":"10.1093\/jamia\/ocag010"},{"key":"63_CR5","doi-asserted-by":"publisher","unstructured":"Palchuk, M.B., et al.: A global federated real-world data and analytics platform for research. JAMIA Open 6(2), ooad035 (2023). https:\/\/doi.org\/10.1093\/jamiaopen\/ooad035","DOI":"10.1093\/jamiaopen\/ooad035"},{"issue":"3","key":"63_CR6","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1093\/ajcp\/aqx147","volume":"149","author":"M Rubinstein","year":"2018","unstructured":"Rubinstein, M., et al.: Effectiveness of practices to support appropriate laboratory test utilization: a laboratory medicine best practices systematic review and meta-analysis. Am. J. Clin. Pathol. 149(3), 197 (2018). https:\/\/doi.org\/10.1093\/ajcp\/aqx147","journal-title":"Am. J. Clin. Pathol."},{"key":"63_CR7","doi-asserted-by":"publisher","DOI":"10.1056\/AIdbp2300040","author":"A Soroush","year":"2024","unstructured":"Soroush, A., Glicksberg, B.S., Zimlichman, E., Barash, Y., Freeman, R., Charney, A.W., Nadkarni, G.N., Klang, E.: Large language models are poor medical coders \u2014 benchmarking of medical code querying. NEJM AI (2024). https:\/\/doi.org\/10.1056\/AIdbp2300040","journal-title":"NEJM AI"},{"key":"63_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2025.120516","volume":"578","author":"K Xu","year":"2026","unstructured":"Xu, K., Bai, X., Sun, Y., Zhao, H., Zhou, W., Zhang, C.: The invisible bridge: how harmonization closes the gap between impossible standardization and clinical necessity. Clin. Chim. Acta 578, 120516 (2026). https:\/\/doi.org\/10.1016\/j.cca.2025.120516","journal-title":"Clin. Chim. Acta"},{"issue":"6","key":"63_CR9","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1109\/TPAMI.2007.1078","volume":"29","author":"L Yujian","year":"2007","unstructured":"Yujian, L., Bo, L.: A normalized Levenshtein distance metric. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 1091\u20131095 (2007). https:\/\/doi.org\/10.1109\/TPAMI.2007.1078","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-30813-9_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T14:11:10Z","timestamp":1783433470000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-30813-9_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,8]]},"ISBN":["9783032308122","9783032308139"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-30813-9_63","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,8]]},"assertion":[{"value":"8 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIME","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Medicine","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ottawa, ON","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aime26.aimedicine.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}