Integrating AI‐Powered Digital Pathology With Case‐Based Teaching: A Novel Paradigm for Renal Education in Medical School.
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| Title: | Integrating AI‐Powered Digital Pathology With Case‐Based Teaching: A Novel Paradigm for Renal Education in Medical School. |
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| Authors: | Zhou, Hua1 (AUTHOR), Cui, Li2 (AUTHOR) clturtle@163.com |
| Source: | Clinical Teacher. Jun2026, Vol. 23 Issue 3, p1-4. 4p. |
| Subject Terms: | *Artificial intelligence, *Medical education, *Flipped classrooms, Digital diagnostic imaging, Pathology, Case-based reasoning, Nephrologists, Clinical decision making |
| Abstract: | Medical students often struggle with understanding renal pathology due to its histological complexity and abstract clinical correlations. Traditional teaching approaches that rely on didactic lectures and static microscopy images frequently fail to engage learners or promote deep understanding. The emergence of digital pathology (DP) and artificial intelligence (AI) tools has opened new possibilities in medical education, especially in visual disciplines like pathology. Concurrently, case‐based learning (CBL) and flipped classroom strategies are gaining traction for fostering active, clinically relevant learning. This perspective article proposes an integrated educational model that combines AI‐powered DP with case‐based teaching to enhance renal disease education for medical students. We discuss how AI‐assisted whole slide imaging (WSI) platforms can support interactive exploration of renal lesions and simulate diagnostic reasoning. We also present a conceptual framework for a case‐based flipped classroom (CBFC) approach that leverages annotated slides, clinical cases and active discussions. This hybrid model has the potential to improve student engagement, diagnostic accuracy and readiness for modern DP practice while also aligning with competency‐based medical education principles. We outline benefits, implementation considerations and future directions for research and curriculum design. [ABSTRACT FROM AUTHOR] |
| Copyright of Clinical Teacher is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 193836602 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating AI‐Powered Digital Pathology With Case‐Based Teaching: A Novel Paradigm for Renal Education in Medical School. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Hua%22">Zhou, Hua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Li%22">Cui, Li</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> clturtle@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Clinical+Teacher%22">Clinical Teacher</searchLink>. Jun2026, Vol. 23 Issue 3, p1-4. 4p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Medical+education%22">Medical education</searchLink><br />*<searchLink fieldCode="DE" term="%22Flipped+classrooms%22">Flipped classrooms</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+diagnostic+imaging%22">Digital diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Pathology%22">Pathology</searchLink><br /><searchLink fieldCode="DE" term="%22Case-based+reasoning%22">Case-based reasoning</searchLink><br /><searchLink fieldCode="DE" term="%22Nephrologists%22">Nephrologists</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+decision+making%22">Clinical decision making</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Medical students often struggle with understanding renal pathology due to its histological complexity and abstract clinical correlations. Traditional teaching approaches that rely on didactic lectures and static microscopy images frequently fail to engage learners or promote deep understanding. The emergence of digital pathology (DP) and artificial intelligence (AI) tools has opened new possibilities in medical education, especially in visual disciplines like pathology. Concurrently, case‐based learning (CBL) and flipped classroom strategies are gaining traction for fostering active, clinically relevant learning. This perspective article proposes an integrated educational model that combines AI‐powered DP with case‐based teaching to enhance renal disease education for medical students. We discuss how AI‐assisted whole slide imaging (WSI) platforms can support interactive exploration of renal lesions and simulate diagnostic reasoning. We also present a conceptual framework for a case‐based flipped classroom (CBFC) approach that leverages annotated slides, clinical cases and active discussions. This hybrid model has the potential to improve student engagement, diagnostic accuracy and readiness for modern DP practice while also aligning with competency‐based medical education principles. We outline benefits, implementation considerations and future directions for research and curriculum design. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Clinical Teacher is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/tct.70421 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 1 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Medical education Type: general – SubjectFull: Flipped classrooms Type: general – SubjectFull: Digital diagnostic imaging Type: general – SubjectFull: Pathology Type: general – SubjectFull: Case-based reasoning Type: general – SubjectFull: Nephrologists Type: general – SubjectFull: Clinical decision making Type: general Titles: – TitleFull: Integrating AI‐Powered Digital Pathology With Case‐Based Teaching: A Novel Paradigm for Renal Education in Medical School. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Hua – PersonEntity: Name: NameFull: Cui, Li IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17434971 Numbering: – Type: volume Value: 23 – Type: issue Value: 3 Titles: – TitleFull: Clinical Teacher Type: main |
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