Computer Assisted Diagnosis for Pathologists (pCAD): A theoretical application for Computational Pathology

Pittsburgh Computational Pathology Lecture Series

Computer Assisted Diagnosis for Pathologists (pCAD): A theoretical application for Computational Pathology

Jeffrey L. Fine, MD
Assistant Professor of Pathology
University of Pittsburgh School of Medicine
January 19, 2017 - 1:30pm
6014 BST 3 Conference Room

Pathology is a complex, often-subjective medical specialty that is desperately in need of a 21st century makeover.  Digital pathology efforts have largely solved the engineering challenges of whole slide imaging (WSI), without adequately understanding how WSI should best be employed in diagnosis.  Computer assisted diagnosis for pathologists (pCAD) is a high-level framework that is intended to articulate how one might better leverage WSI data sets.  Computational pathology plays a critical in pCAD, essentially permitting advanced computer guidance og previously manual diagnostic judgments.  It is also anticipated that computational tools will enable sophisticated analyses that are impossible with unaided manual WSI review, including integration of other data sets such as biomarkers or genomic tests.  Many of these pieces exist and pCAD helps address the challenge of how to assemble them into a whole tat could rapidly be used for improving patient care in the real world.

*Refreshments will be served*