{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T12:05:02Z","timestamp":1775563502798,"version":"3.50.1"},"reference-count":13,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T00:00:00Z","timestamp":1772841600000},"content-version":"vor","delay-in-days":65,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Procedia Computer Science"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1016\/j.procs.2026.03.118","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T12:39:40Z","timestamp":1774355980000},"page":"1342-1349","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["PACS-to-FHIR transformation: a case of study with computed tomography"],"prefix":"10.1016","volume":"278","author":[{"given":"Luis","family":"Vera","sequence":"first","affiliation":[]},{"given":"Olga","family":"Craveiro","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Malheiro","sequence":"additional","affiliation":[]},{"given":"Joaquim","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Manuel","family":"Dias","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Bezerra","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.procs.2026.03.118_bib1","doi-asserted-by":"crossref","unstructured":"Amar, F., April, A. & Abran, A., 2024. Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review. JMIR Publications Inc., Volume 26.","DOI":"10.2196\/45209"},{"key":"10.1016\/j.procs.2026.03.118_bib2","series-title":"Principles of Health Interoperability","author":"Benson","year":"2016"},{"key":"10.1016\/j.procs.2026.03.118_bib3","doi-asserted-by":"crossref","unstructured":"Krishna, J., 2019. Capital equipment. In: Office-Based Endovascular Centers. s.l.:Elsevier, pp. 33-39.","DOI":"10.1016\/B978-0-323-67969-5.00006-X"},{"key":"10.1016\/j.procs.2026.03.118_bib4","series-title":"Clinical Text Mining, Secondary Use of Electronic Patient Records","author":"Dalianis","year":"2018"},{"key":"10.1016\/j.procs.2026.03.118_bib5","doi-asserted-by":"crossref","unstructured":"Bridge C,Gorman C,Pieper S,Doyle S,Lennerz J,Kalpathy-Cramer J,Clunie D,Fedorov A,Herrmann M.: Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology. Journal of Digital Imaging,1719-1737 (2022)","DOI":"10.1007\/s10278-022-00683-y"},{"key":"10.1016\/j.procs.2026.03.118_bib6","doi-asserted-by":"crossref","unstructured":"Kathiravelu P,Sharma P,Sharma A,Banerjee I,Trivedi H,Purkayastha S,Sinha P,Cadrin-Chenevert A,Safdar NGichoya J.: A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. Journal of Digital Imaging. 1005-1013 (2021)","DOI":"10.1007\/s10278-021-00491-w"},{"key":"10.1016\/j.procs.2026.03.118_bib7","doi-asserted-by":"crossref","unstructured":"T\u00f6lle M,Burger L,Kelm H,Andr\u00e9 F,Bannas P,Diller G,Frey N,Garthe P,Gro\u00df S,Hennemuth A,Kaderali L,Kr\u00fcger N,Leha A,Martin S,Meyer A,Nagel E,Orwat S,Scherer C,Seiffert M,Seliger J,Simm S,Friede T,Seidler T,Engelhardt S.: Multi-modal dataset creation for federated learning with DICOM-structured reports. International Journal of Computer Assisted Radiology and Surgery. 485-495 (2025)","DOI":"10.1007\/s11548-025-03327-y"},{"key":"10.1016\/j.procs.2026.03.118_bib8","doi-asserted-by":"crossref","unstructured":"Iancu A,Bauer J,May M,Prokosch H,D\u00f6rfler A,Uder M,Kapsner L.: Large-Scale Integration of DICOM Metadata into HL7-FHIR for Medical Research 77-84 (2025).","DOI":"10.1055\/a-2521-4250"},{"key":"10.1016\/j.procs.2026.03.118_bib9","doi-asserted-by":"crossref","unstructured":"Kondylakis H,Kalokyri V,Sfakianakis S,Marias K,Tsiknakis M,Jimenez-Pastor A,Camacho-Ramos E,Blanquer I,Segrelles J,L\u00f3pez-Huguet S,Barelle C,Kogut-C,zarkowska M,Tsakou G,Siopis N,Sakellariou Z,Bizopoulos P,Drossou V,Lalas A,Votis K,Mallol P,Marti-Bonmati L,Alberich L,Seymour K,Boucher S,Ciarrocchi E,Fromont L,Rambla J,Harms A,Gutierrez A,Starmans M,Prior F,Gelpi J,Lekadir K. Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects. European Radiology Experimental. 7-20 (2023)","DOI":"10.1186\/s41747-023-00336-x"},{"key":"10.1016\/j.procs.2026.03.118_bib10","doi-asserted-by":"crossref","unstructured":"Tang S,Tjia V,Noga T,Febri J,Lien C,Chu W,Chen C,Hsiao C.: Creating a Medical Imaging Workflow Based on FHIR, DICOMweb, and SVG. Journal of Digital Imaging 794-803 (2023).","DOI":"10.1007\/s10278-021-00522-6"},{"key":"10.1016\/j.procs.2026.03.118_bib11","doi-asserted-by":"crossref","unstructured":"Jorg T,Halfmann M,Stoehr F,Arnhold G,Theobald A,Mildenberger P,M\u00fcller L.: A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports. Insights into Imaging 15-80 (2024)","DOI":"10.1186\/s13244-024-01660-5"},{"key":"10.1016\/j.procs.2026.03.118_bib12","unstructured":"Jain, S., Agrawal, A., Saporta, A., Truong, S. Q. H., Nguyen Duong, D., Bui, T., Chambon, P., Lungren, M., Ng, A., Langlotz, C., Rajpurkar, P.: RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. NeurIPS Datasets & Benchmarks (2021)."},{"key":"10.1016\/j.procs.2026.03.118_bib13","unstructured":"Smile CDR: Documentation of Imaging Plugin \/ FHIR Introduction, versi\u00f3n 2025.11.PRE."}],"container-title":["Procedia Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050926007131?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050926007131?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T11:23:45Z","timestamp":1775561025000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877050926007131"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":13,"alternative-id":["S1877050926007131"],"URL":"https:\/\/doi.org\/10.1016\/j.procs.2026.03.118","relation":{},"ISSN":["1877-0509"],"issn-type":[{"value":"1877-0509","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"PACS-to-FHIR transformation: a case of study with computed tomography","name":"articletitle","label":"Article Title"},{"value":"Procedia Computer Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.procs.2026.03.118","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}