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Artificial Intelligence for RECIST-Based Radiologic Treatment Response Assessment in Solid Tumors: A Systematic Review of Imaging- and Report-Derived Approaches.

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Title: Artificial Intelligence for RECIST-Based Radiologic Treatment Response Assessment in Solid Tumors: A Systematic Review of Imaging- and Report-Derived Approaches.
Authors: Leszczyńska, Agnieszka1,2 (AUTHOR), Seweryn, Michał1,2 (AUTHOR), Obuchowicz, Rafał3,4 (AUTHOR), Strzelecki, Michał4,5 (AUTHOR) michal.strzelecki@p.lodz.pl, Piórkowski, Adam5,6 (AUTHOR), Potocki, Paweł Michał1,6,7 (AUTHOR)
Source: Cancers. Mar2026, Vol. 18 Issue 5, p808. 19p.
Database: Academic Search Ultimate
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  Data: Artificial Intelligence for RECIST-Based Radiologic Treatment Response Assessment in Solid Tumors: A Systematic Review of Imaging- and Report-Derived Approaches.
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  Data: <searchLink fieldCode="JN" term="%22Cancers%22">Cancers</searchLink>. Mar2026, Vol. 18 Issue 5, p808. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192641372
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      – Type: doi
        Value: 10.3390/cancers18050808
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 808
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      – TitleFull: Artificial Intelligence for RECIST-Based Radiologic Treatment Response Assessment in Solid Tumors: A Systematic Review of Imaging- and Report-Derived Approaches.
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            NameFull: Obuchowicz, Rafał
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            NameFull: Piórkowski, Adam
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            – D: 01
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              Text: Mar2026
              Type: published
              Y: 2026
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