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Agreement Between AI Language Models and BOOM Chondrosarcoma Consensus Statements: A Comparative Study.

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Τίτλος: Agreement Between AI Language Models and BOOM Chondrosarcoma Consensus Statements: A Comparative Study.
Συγγραφείς: Dünki A, Polat Ö
Πηγή: Acta orthopaedica Belgica [Acta Orthop Belg] 2026 Apr 20; Vol. 92 (1). Date of Electronic Publication: 2026 Apr 20.
Τύπος έκδοσης: Journal Article; Comparative Study
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Acta Medica Belgica Country of Publication: Belgium NLM ID: 2985165R Publication Model: Electronic Cited Medium: Internet ISSN: 0001-6462 (Print) Linking ISSN: 00016462 NLM ISO Abbreviation: Acta Orthop Belg Subsets: MEDLINE
Imprint Name(s): Publication: Bruxelles : Acta Medica Belgica
Original Publication: Bruxelles.
Ιατρικοί όροι (MeSH): Chondrosarcoma*/therapy , Bone Neoplasms*/therapy , Consensus Statements as Topic* , Artificial Intelligence* , Orthopedics*, Humans ; Consensus ; Large Language Models
Περίληψη: Artificial intelligence (AI) is an exciting development makes life easier and solves many problems in daily life. The Birmingham Orthopaedic Oncology Meeting (BOOM) met in January 2024 with 309 participants from 53 countries to discuss the optimal consensus for chondrosarcomas on 21 questions. The aim of this study was to investigate how reliable the expert statements from the BOOM were compared to ChatGPT-4 and DeepseekR1. 21 questions and consensus statements in the section on chondrosarcomas in the BOOM were extracted. The answers were classified according to the level of evidence and consensus status, taking into account the consensus strength category determined in the meeting. Each statement were written separately for the ChatGPT-4 and DeepseekR1. Consensus questions and answers were written for the AI modules and they were asked to interpret these expressions as ''strongly disagree, disagree, undecided, agree or strongly agree''. BOOM participants reached a strong consensus on 19 questions. The number of people who accepted the proposition for 1 question was 52% and no consensus was reached. ChatGPT-4 and DeepseekR1 responded ''disagree'' for a same question. The level of evidence for that question was ''low to moderate'' and a strong consensus was reached. A significant relationship was found between the responses of ChatGPT-4 and DeepseekR1. ChatGPT-4 and Deepseek expressed more positive opinions in the answers with high levels of evidence, while BOOM participants were able to make stronger consensus decisions by combining their clinical observations with literature knowledge, regardless of level of evidence.
Entry Date(s): Date Created: 20260421 Date Completed: 20260715 Latest Revision: 20260715
Update Code: 20260715
DOI: 10.52628/92.1.14560
PMID: 42012044
Βάση Δεδομένων: MEDLINE
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  Data: Agreement Between AI Language Models and BOOM Chondrosarcoma Consensus Statements: A Comparative Study.
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  Data: <searchLink fieldCode="AU" term="%22Dünki+A%22">Dünki A</searchLink><br /><searchLink fieldCode="AU" term="%22Polat+Ö%22">Polat Ö</searchLink>
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  Data: <searchLink fieldCode="JN" term="%222985165R%22">Acta orthopaedica Belgica</searchLink> [Acta Orthop Belg] 2026 Apr 20; Vol. 92 (1). <i>Date of Electronic Publication: </i>2026 Apr 20.
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  Label: Publication Type
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  Data: Journal Article; Comparative Study
– Name: Language
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  Data: English
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Acta+Medica+Belgica%22">Acta Medica Belgica </searchLink><i>Country of Publication: </i>Belgium <i>NLM ID: </i>2985165R <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>0001-6462 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200016462%22">00016462 </searchLink><i>NLM ISO Abbreviation: </i>Acta Orthop Belg <i>Subsets: </i>MEDLINE
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  Data: <i>Publication</i>: Bruxelles : Acta Medica Belgica<br /><i>Original Publication</i>: Bruxelles.
– Name: SubjectMESH
  Label: MeSH Terms
  Group: Su
  Data: <searchLink fieldCode="MM" term="%22Chondrosarcoma%22">Chondrosarcoma*</searchLink>/<searchLink fieldCode="MM" term="%22Chondrosarcoma+therapy%22">therapy</searchLink> <br /><searchLink fieldCode="MM" term="%22Bone+Neoplasms%22">Bone Neoplasms*</searchLink>/<searchLink fieldCode="MM" term="%22Bone+Neoplasms+therapy%22">therapy</searchLink> <br /><searchLink fieldCode="MM" term="%22Consensus+Statements+as+Topic%22">Consensus Statements as Topic*</searchLink> <br /><searchLink fieldCode="MM" term="%22Artificial+Intelligence%22">Artificial Intelligence*</searchLink> <br /><searchLink fieldCode="MM" term="%22Orthopedics%22">Orthopedics*</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Consensus%22">Consensus</searchLink> ; <searchLink fieldCode="MH" term="%22Large+Language+Models%22">Large Language Models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Artificial intelligence (AI) is an exciting development makes life easier and solves many problems in daily life. The Birmingham Orthopaedic Oncology Meeting (BOOM) met in January 2024 with 309 participants from 53 countries to discuss the optimal consensus for chondrosarcomas on 21 questions. The aim of this study was to investigate how reliable the expert statements from the BOOM were compared to ChatGPT-4 and DeepseekR1. 21 questions and consensus statements in the section on chondrosarcomas in the BOOM were extracted. The answers were classified according to the level of evidence and consensus status, taking into account the consensus strength category determined in the meeting. Each statement were written separately for the ChatGPT-4 and DeepseekR1. Consensus questions and answers were written for the AI modules and they were asked to interpret these expressions as ''strongly disagree, disagree, undecided, agree or strongly agree''. BOOM participants reached a strong consensus on 19 questions. The number of people who accepted the proposition for 1 question was 52% and no consensus was reached. ChatGPT-4 and DeepseekR1 responded ''disagree'' for a same question. The level of evidence for that question was ''low to moderate'' and a strong consensus was reached. A significant relationship was found between the responses of ChatGPT-4 and DeepseekR1. ChatGPT-4 and Deepseek expressed more positive opinions in the answers with high levels of evidence, while BOOM participants were able to make stronger consensus decisions by combining their clinical observations with literature knowledge, regardless of level of evidence.
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  Data: <i>Date Created: </i>20260421 <i>Date Completed: </i>20260715 <i>Latest Revision: </i>20260715
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  Data: 10.52628/92.1.14560
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        Value: 10.52628/92.1.14560
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Humans
        Type: general
      – SubjectFull: Consensus
        Type: general
      – SubjectFull: Large Language Models
        Type: general
      – SubjectFull: Chondrosarcoma therapy
        Type: general
      – SubjectFull: Bone Neoplasms therapy
        Type: general
      – SubjectFull: Consensus Statements as Topic
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Orthopedics
        Type: general
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      – TitleFull: Agreement Between AI Language Models and BOOM Chondrosarcoma Consensus Statements: A Comparative Study.
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              Text: 2026 Apr 20
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              Y: 2026
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