Evaluation of the performance of large language models in responding to medical questions related to multiple sclerosis: A case study of large language models including ChatGPT, Gemini, Grok and Copilot.
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| Title: | Evaluation of the performance of large language models in responding to medical questions related to multiple sclerosis: A case study of large language models including ChatGPT, Gemini, Grok and Copilot. |
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| Authors: | Dastani, Meisam1 (AUTHOR), Sajjadi, Mohammad Shayan2 (AUTHOR), Yamout, Bassem3 (AUTHOR), Arab Bafrani, Melika4 (AUTHOR), Nasirzadeh, Amirreza5 (AUTHOR) nasirzadeharnz@gmail.com |
| Source: | PLoS ONE. 5/11/2026, Vol. 21 Issue 5, p1-12. 12p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 193654460 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluation of the performance of large language models in responding to medical questions related to multiple sclerosis: A case study of large language models including ChatGPT, Gemini, Grok and Copilot. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dastani%2C+Meisam%22">Dastani, Meisam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sajjadi%2C+Mohammad+Shayan%22">Sajjadi, Mohammad Shayan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yamout%2C+Bassem%22">Yamout, Bassem</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arab+Bafrani%2C+Melika%22">Arab Bafrani, Melika</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nasirzadeh%2C+Amirreza%22">Nasirzadeh, Amirreza</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> nasirzadeharnz@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 5/11/2026, Vol. 21 Issue 5, p1-12. 12p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193654460 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0346445 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Evaluation of the performance of large language models in responding to medical questions related to multiple sclerosis: A case study of large language models including ChatGPT, Gemini, Grok and Copilot. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dastani, Meisam – PersonEntity: Name: NameFull: Sajjadi, Mohammad Shayan – PersonEntity: Name: NameFull: Yamout, Bassem – PersonEntity: Name: NameFull: Arab Bafrani, Melika – PersonEntity: Name: NameFull: Nasirzadeh, Amirreza IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 05 Text: 5/11/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 21 – Type: issue Value: 5 Titles: – TitleFull: PLoS ONE Type: main |
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