{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T11:57:15Z","timestamp":1792065435959,"version":"4.4.0"},"reference-count":19,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T00:00:00Z","timestamp":1782950400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["ALLRP 557112-20"],"award-info":[{"award-number":["ALLRP 557112-20"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN-2019-05038"],"award-info":[{"award-number":["RGPIN-2019-05038"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advancesradonc.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Advances in Radiation Oncology"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.adro.2026.102132","type":"journal-article","created":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T20:48:21Z","timestamp":1789159701000},"page":"102132","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Interobserver Study on HDR Prostate\u2014Human-Selected Versus AI-Selected Plans"],"prefix":"10.1016","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2953-2770","authenticated-orcid":false,"given":"Philippe Y.","family":"Chatigny","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Lacroix","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sylviane","family":"Aubin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9-Guy","family":"Martin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c9ric","family":"Vigneault","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fran\u00e7ois","family":"Bachand","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Foster","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c9ric","family":"Poulin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luc","family":"Beaulieu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.adro.2026.102132_bib0001","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.ijrobp.2022.05.022","article-title":"Multicriteria optimization in brachytherapy","volume":"114","author":"Beaulieu","year":"2022","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.adro.2026.102132_bib0002","article-title":"A multi-criteria optimization approach for HDR prostate brachytherapy: I. Pareto surface approximation","volume":"63","author":"Cui","year":"2018","journal-title":"Phys Med Biol."},{"key":"10.1016\/j.adro.2026.102132_bib0003","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ab1817","article-title":"A GPU-based multi-criteria optimization algorithm for HDR brachytherapy","volume":"64","author":"B\u00e9langer","year":"2019","journal-title":"Phys Med Biol."},{"key":"10.1016\/j.adro.2026.102132_bib0004","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/j.brachy.2020.02.013","article-title":"PNaV: A tool for generating a high-dose-rate brachytherapy treatment plan by navigating the Pareto surface guided by the visualization of multidimensional trade-offs","volume":"19","author":"Deufel","year":"2020","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0005","doi-asserted-by":"crossref","first-page":"3776","DOI":"10.1002\/mp.13681","article-title":"GPU-accelerated bi-objective treatment planning for prostate high-dose-rate brachytherapy","volume":"46","author":"Bouter","year":"2019","journal-title":"Med Phys."},{"key":"10.1016\/j.adro.2026.102132_bib0006","doi-asserted-by":"crossref","first-page":"379","DOI":"10.5114\/jcb.2022.118995","article-title":"Commissioning of GPU-based multi-criteria optimizer combined with plan navigation tools for high-dose-rate brachytherapy","volume":"14","author":"B\u00e9langer","year":"2022","journal-title":"J Contemp Brachytherapy."},{"key":"10.1016\/j.adro.2026.102132_bib0007","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/j.brachy.2022.04.003","article-title":"Inter-observer evaluation of a GPU-based multicriteria optimization algorithm combined with plan navigation tools for HDR brachytherapy","volume":"21","author":"B\u00e9langer","year":"2022","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0008","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.brachy.2022.11.013","article-title":"Towards artificial intelligence-based automated treatment planning in clinical practice: A prospective study of the first clinical experiences in high-dose-rate prostate brachytherapy","volume":"22","author":"Barten","year":"2023","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0009","doi-asserted-by":"crossref","first-page":"1717","DOI":"10.1002\/mp.17550","article-title":"Automatic plan selection using deep network-A prostate study","volume":"52","author":"Chatigny","year":"2025","journal-title":"Med Phys."},{"key":"10.1016\/j.adro.2026.102132_bib0010","doi-asserted-by":"crossref","first-page":"S68","DOI":"10.1016\/j.brachy.2024.08.093","article-title":"A first-in-human randomized clinical trial of graphics processing units based multi-criteria optimization (gMCO) versus IPSA in high-dose-rate prostate brachytherapy","volume":"23","author":"Lacroix","year":"2024","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0011","article-title":"Deep residual learning for image recognition","author":"He","year":"2015","journal-title":"arXiv preprint arXiv"},{"key":"10.1016\/j.adro.2026.102132_bib0012","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.brachy.2025.11.009","article-title":"A first-in-human randomized clinical trial of graphics processing units based multi-criteria optimization (gMCO) versus IPSA in high-dose-rate prostate brachytherapy","volume":"25","author":"Lacroix","year":"2026","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0013","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0: Fundamental algorithms for scientific computing in python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat Methods."},{"key":"10.1016\/j.adro.2026.102132_bib0014","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1080\/01621459.1959.10501526","article-title":"Remarks on zeros and ties in the Wilcoxon signed rank procedures","volume":"54","author":"Pratt","year":"1959","journal-title":"J Am Stat Assoc."},{"key":"10.1016\/j.adro.2026.102132_bib0015","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.brachy.2022.12.008","article-title":"Validation of automated post-adjustments of HDR prostate brachytherapy treatment plans by quantitative measures and oncologist observer study","volume":"22","author":"Dohlmar","year":"2023","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0016","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.brachy.2018.12.010","article-title":"Evaluation of bi-objective treatment planning for high-dose-rate prostate brachytherapy-A retrospective observer study","volume":"18","author":"Maree","year":"2019","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0017","doi-asserted-by":"crossref","first-page":"N517","DOI":"10.1088\/1361-6560\/aa8b0a","article-title":"Analysis of dose heterogeneity using a subvolume-DVH","volume":"62","author":"Said","year":"2017","journal-title":"Phys Med Biol."},{"key":"10.1016\/j.adro.2026.102132_bib0018","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.brachy.2023.10.005","article-title":"Keeping your best options open with AI-based treatment planning in prostate and cervix brachytherapy","volume":"23","author":"Dickhoff","year":"2024","journal-title":"Brachytherapy"},{"key":"10.1016\/j.adro.2026.102132_bib0019","article-title":"FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare","author":"Lekadir","year":"2024","journal-title":"arXiv"}],"container-title":["Advances in Radiation Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2452109426001399?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2452109426001399?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T11:36:33Z","timestamp":1792064193000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2452109426001399"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":19,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["S2452109426001399"],"URL":"https:\/\/doi.org\/10.1016\/j.adro.2026.102132","relation":{},"ISSN":["2452-1094"],"issn-type":[{"value":"2452-1094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Interobserver Study on HDR Prostate\u2014Human-Selected Versus AI-Selected Plans","name":"articletitle","label":"Article Title"},{"value":"Advances in Radiation Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.adro.2026.102132","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc. on behalf of American Society for Radiation Oncology.","name":"copyright","label":"Copyright"}],"article-number":"102132"}}