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Application of large language models for assigning clear cell likelihood score v2.0 from free–text MRI reports: a feasibility study

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Τίτλος: Application of large language models for assigning clear cell likelihood score v2.0 from free–text MRI reports: a feasibility study
Συγγραφείς: Duan, YantingAff1, Zhao, YileiAff2, He, MaoweiAff3, Li, TiefengAff1, Yang, LiuqiongAff1, Hu, ZhengyuAff4, Wang, MinhongAff5, Feng, ZhanAff2, IDs00261026058181_cor1
Πηγή: Abdominal Radiology. :1-11
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s00261-026-05818-1
    Name: EDS - Springer Nature Journals (s7799221)
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PubType: Academic Journal
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  Data: Application of large language models for assigning clear cell likelihood score v2.0 from free–text MRI reports: a feasibility study
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  Data: <i>Abdominal Radiology</i>. :1-11
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      – Type: doi
        Value: 10.1007/s00261-026-05818-1
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      – Text: English
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        PageCount: 11
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      – TitleFull: Application of large language models for assigning clear cell likelihood score v2.0 from free–text MRI reports: a feasibility study
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            NameFull: Duan, Yanting
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            NameFull: Zhao, Yilei
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            NameFull: He, Maowei
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            – D: 05
              M: 10
              Type: published
              Y: 2026
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            – TitleFull: Abdominal Radiology
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