Pathology: Diagnostics, Reporting and Artificial Intelligence
Year: 2025
Type: article
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.
DOI: 10.1055/a-2314-0472
Authors: Annette Lebeau, Andreas Turzynski
Institution: University Medical Center Hamburg-Eppendorf
Language: English
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4408284340