As global efforts accelerate to implement the Sustainable Development Goals and, in
particular, universal health coverage, access to high-quality and timely pathology and …

There has been an exponential growth in the application of AI in health and in pathology.
This is resulting in the innovation of deep learning technologies that are specifically aimed at …

Background Nephropathologic analyses provide important outcomes-related data in
experiments with the animal models that are essential for understanding kidney disease …

Importance The current state of the US pathologist workforce is uncertain, with deficits
forecast over the next 2 decades. Objective To examine the trends in the US pathology …

Objectives The study explored job stress, burnout, work-life balance, well-being, and job
satisfaction among pathology residents and fellows. The aims were to examine the …

This document clarifies the strategic context of digital pathology adoption, defines the
different use cases a healthcare provider may wish to consider as part of a digital adoption …

As genetics becomes increasingly integrated into all areas of health care and the use of
complex genetic tests continues to grow, the clinical genetics workforce will likely face …

This article presents a perspective on the importance of the autopsy in medical practice and
science based on experiences of the authors as physician-scientists involved in autopsy …

Significant advances in artificial intelligence (AI) over the past decade potentially may lead
to dramatic effects on clinical practice. Digitized histology represents an area ripe for AI …

Histopathology is widely used to analyze clinical biopsy specimens and tissues from pre-
clinical models of a variety of musculoskeletal conditions. Histological assessment relies on …