Exploring the risks of over-reliance on AI in diagnostic pathology. What lessons can be learned to support the training of young pathologists?
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| Title: | Exploring the risks of over-reliance on AI in diagnostic pathology. What lessons can be learned to support the training of young pathologists? |
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| Authors: | Bellahsen-Harrar Y; Department of Pathology, Hôpital Européen Georges-Pompidou, APHP, Paris, France.; Université Paris Cité, Paris, France., Lubrano M; Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France.; Tribun Health, Paris, France., Lépine C; Department of Pathology, CHU Nantes, Nantes, France.; UMR 1302/EMR6001, INCIT, Inserm, Nantes, France.; Nantes Université, Nantes, France., Beaufrère A; Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France.; Department of Pathology, Hôpital Beaujon, APHP, Clichy, France., Bocciarelli C; Department of Pathology, CHRU Brest, Brest, France., Brunet A; Department of Pathology, Hôpital Henri Mondor, APHP, Créteil, France.; Université Paris Est Créteil, Créteil, France., Decroix E; Department of Pathology, IUCT-Oncopole, Toulouse, France., El-Sissy FN; Department of Pathology, Hôpital Lariboisière, APHP, Paris, France., Fabiani B; Tribun Health, Paris, France., Morini A; Department of Pathology, Hôpital Lariboisière, APHP, Paris, France.; Department of Pathology, Grand Hôpital de l'Est Francilien, Jossigny, France., Tilmant C; Department of Pathology, Groupement des Hôpitaux de l'Institut Catholique de Lille, Lille, France., Walter T; Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France.; Institut Curie, PSL Université, Paris, France.; U1331 INSERM « Computational Oncology », Paris, France., Badoual C; Department of Pathology, Hôpital Européen Georges-Pompidou, APHP, Paris, France.; Université Paris Cité, Paris, France. |
| Source: | PloS one [PLoS One] 2025 Aug 28; Vol. 20 (8), pp. e0323270. Date of Electronic Publication: 2025 Aug 28 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0323270 |
