Related Experiment Video
Updated: Aug 22, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Applications of Digital and Computational Pathology and Artificial Intelligence in Genitourinary Pathology
Ankush Uresh Patel1, Sambit K Mohanty2, Anil V Parwani3
1Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
Abstract:
As machine learning (ML) solutions for genitourinary pathology image analysis are fostered by a progressively digitized laboratory landscape, these integrable modalities usher in a revolution in histopathological diagnosis. As technology advances, limitations stymying clinical artificial intelligence (AI) will not be extinguished without thorough validation and interrogation of ML tools by pathologists and regulatory bodies alike. ML solutions deployed in clinical settings for applications in prostate pathology yield promising results. Recent breakthroughs in clinical artificial intelligence for genitourinary pathology demonstrate unprecedented generalizability, heralding prospects for a future in which AI-driven assistive solutions may be seen as laboratory faculty, rather than novelty.
Related Concept Videos
Imaging Studies III: Computed Tomography
Imaging Studies IV: Magnetic Resonance Imaging
Imaging Studies V: Intravenous Urography and Retrograde Pyelography
Imaging Studies I: Kidney, Ureter, and Bladder Studies
Nursing Assessment of the Genitourinary System II: Inspection and Palpation
Imaging Studies II: Ultrasonography

