Pathology: Diagnostics, Reporting and Artificial Intelligence

Abstract Breast pathology poses a particular diagnostic challenge due to the broad spectrum of functional, reactive and neoplastic changes in the breast. Objectifiable and reproducible criteria are the key to a valid diagnosis. In addition to the diagnostic classification of lesions, it is the task of pathologists to identify and document all tumor characteristics that are relevant for clinical management. Modern personalized medicine is based on up-to-date, valid pathomorphological and molecular diagnostics. Reports of findings should be written comprehensibly, completely and quickly. Structured pathology reports are ideal for this purpose. Before artificial intelligence can fulfil the hopes placed in it regarding the acceleration and objectification of reporting, technical and financial limitations must be resolved in addition to the explainability of AI-generated decisions.

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Publication Details

Journal
Senologie - Zeitschrift für Mammadiagnostik und -therapie
Published
2025-03-01
DOI
https://doi.org/10.1055/a-2314-0472
Citations
1
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
2.48
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article

Pathology: Diagnostics, Reporting and Artificial Intelligence

Andreas Turzynski, Annette Lebeau
1 citations
Senologie - Zeitschrift für Mammadiagnostik und -therapie
AI in cancer detection
2.48
article

Pathology: Diagnostics, Reporting and Artificial Intelligence

Andreas Turzynski, Annette Lebeau
article en
1 citations

Abstract

Abstract Breast pathology poses a particular diagnostic challenge due to the broad spectrum of functional, reactive and neoplastic changes in the breast. Objectifiable and reproducible criteria are the key to a valid diagnosis. In addition to the diagnostic classification of lesions, it is the task of pathologists to identify and document all tumor characteristics that are relevant for clinical management. Modern personalized medicine is based on up-to-date, valid pathomorphological and molecular diagnostics. Reports of findings should be written comprehensibly, completely and quickly. Structured pathology reports are ideal for this purpose. Before artificial intelligence can fulfil the hopes placed in it regarding the acceleration and objectification of reporting, technical and financial limitations must be resolved in addition to the explainability of AI-generated decisions.

Senologie - Zeitschrift für Mammadiagnostik und -therapieVol. 22(01)
Universität Hamburg (DE), University Medical Center Hamburg-Eppendorf (DE), Praxis für Humangenetik (DE)
Openalex Percentile: Top 11%
AI in cancer detection
2.48
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Pathology: Diagnostics, Reporting and Artificial Intelligence — Andreas Turzynski, Annette Lebeau · Senologie - Zeitschrift für Mammadiagnostik und -therapie (2025) | TGRS Research Map | TGRS