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.
Authors
- Andreas Turzynski
- Annette Lebeau
Institutions
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Praxis für Humangenetik (DE)
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