{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T20:46:32Z","timestamp":1793047592711,"version":"4.5.0"},"reference-count":34,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["DIGITAL HEALTH"],"published-print":{"date-parts":[[2025,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aims to evaluate the stylistic and structural equivalence of Artificial Intelligence (AI)-generated summaries, particularly those by Large Language Models (LLMs) like ChatGPT, compared to traditional human-generated case summaries in neuro-oncological board decisions. The primary goal is to explore the stylistic alignment between AI-generated and human-authored summaries from board meeting audio recordings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The study compares 30 traditional human-generated case summaries with 30 AI-generated summaries based on board meeting audio recordings. Two expert raters, blinded to the source of the summaries, evaluated a total of 60 cases. A Likert scale was used to assess the plausibility, linguistic style, evidence adherence, and reference accuracy of the summaries.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The results indicated that both LLM-generated and human-reviewed summaries demonstrated consistently high performance across all criteria evaluated. The general plausibility ratings were comparable (LLM: 4.7, Human: 4.73,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.959). Linguistic style ratings also showed similarity (LLM: 4.87, Human: 4.97,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.512). In terms of adherence to evidence, the means were close (LLM: 4.8, Human: 4.87,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.541). Reference accuracy was slightly higher for AI-generated summaries (LLM: 4.97, Human: 4.9,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.664). These findings were consistent with the results from Rater 2, and statistical analysis using Kendall's tau showed no significant differences between methods (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&gt;\u2009.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The study finds that LLM-generated summaries can effectively emulate the style and structure of human-authored ones, indicating their promise as an additional tool in neuro-oncology. These AI models can enhance documentation quality and serve as valuable support in clinical settings. While further research is necessary to explore broader applications, LLMs offer exciting potential as a complement to traditional decision-making processes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076251384604","type":"journal-article","created":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T16:41:06Z","timestamp":1762792866000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Validity of evidence-based recommendations by a large language model for interdisciplinary board decisions in neurooncology: An explorative study and critical evaluation"],"prefix":"10.1177","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0706-7529","authenticated-orcid":false,"given":"Maria","family":"Goldberg","sequence":"first","affiliation":[{"name":"School of Medicine, Klinikum rechts der Isar, Technical University Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viktor Maria","family":"Eisenkolb","sequence":"additional","affiliation":[{"name":"School of Medicine, Klinikum rechts der Isar, Technical University Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir Kaywan","family":"Aftahy","sequence":"additional","affiliation":[{"name":"International Neuroscience Institute"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiara","family":"Negwer","sequence":"additional","affiliation":[{"name":"School of Medicine, Klinikum rechts der Isar, Technical University Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanno S","family":"Meyer","sequence":"additional","affiliation":[{"name":"University Medical Center Hamburg-Eppendorf"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jens","family":"Gempt","sequence":"additional","affiliation":[{"name":"University Medical Center Hamburg-Eppendorf"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernhard","family":"Meyer","sequence":"additional","affiliation":[{"name":"School of Medicine, Klinikum rechts der Isar, Technical University Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arthur","family":"Wagner","sequence":"additional","affiliation":[{"name":"School of Medicine, Klinikum rechts der Isar, Technical University Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1515\/auto-2023-0061"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.25259\/SNI_877_2022"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3934\/Neuroscience.2021025"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.3389\/FSURG.2022.863633"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.7759\/CUREUS.23662"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1136\/jnis-2023-020353"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/curroncol31090369"},{"key":"e_1_3_2_9_2","first-page":"163","article-title":"The parallel between artificial intelligence and neurosurgery","volume":"8","author":"Crawford M","year":"2023","unstructured":"Crawford M, Joseph S, Fernando S. The parallel between artificial intelligence and neurosurgery. Int J Eng Appl Sci Technol 2023; 8: 163\u2013170.","journal-title":"Int J Eng Appl Sci Technol"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.wnsx.2024.100301"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.critrevonc.2025.104682"},{"key":"e_1_3_2_12_2","first-page":"3","article-title":"Fairness and bias in artificial intelligence: a brief survey of sources, impacts, and mitigation strategies","volume":"6","author":"Tavares S","year":"2024","unstructured":"Tavares S, Ferrara E. Fairness and bias in artificial intelligence: a brief survey of sources, impacts, and mitigation strategies. Sci 2024; 6: 3.","journal-title":"Sci"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-024-02894-w"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.3390\/fi16120462"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.2196\/48009"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01157-x"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2288-13-104"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1186\/s40814-023-01416-w"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/nur.20247"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1177\/20552076241247938"},{"key":"e_1_3_2_21_2","unstructured":"WHO guidance on the ethics & governance of AI for health makes recommendations for promoting ethical use - Business & Human Rights Resource Centre https:\/\/www.business-humanrights.org\/en\/latest-news\/world-health-organisation-releases-guidance-on-the-ethics-and-governance-of-artificial-intelligence-for-health\/ (accessed 12 April 2025)."},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajem.2023.11.022"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-023-00823-w"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.7861\/fhj.2021-0095"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-023-04698-z"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.2196\/63377"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare10122493"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.2196\/67485"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.5662\/wjm.v14.i3.94071"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare12020125"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16391-4_11"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1097\/CRD.0000000000000606"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1111\/cts.12884"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10143-024-02568-w"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1007\/S10143-024-02514-W"}],"container-title":["DIGITAL HEALTH"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/20552076251384604","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/20552076251384604","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/20552076251384604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:54:49Z","timestamp":1777398889000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/20552076251384604"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":34,"alternative-id":["10.1177\/20552076251384604"],"URL":"https:\/\/doi.org\/10.1177\/20552076251384604","relation":{},"ISSN":["2055-2076","2055-2076"],"issn-type":[{"value":"2055-2076","type":"print"},{"value":"2055-2076","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]},"article-number":"20552076251384604"}}