Pathologist workload, burnout, and wellness: connecting the dots.

No standard tool to measure pathologist workload currently exists. An accurate measure of workload is needed for determining the number of pathologists to be hired, distributing the workload fairly among pathologists, and assessing the overall cost of pathology consults. Initially, simple tools such as counting cases or slides were used to give an estimate of the workload.

Computational pathology: an evolving concept.

The initial enthusiasm about computational pathology (CP) and artificial intelligence (AI) was that they will replace pathologists entirely on the way to fully automated diagnostics. It is becoming clear that currently this is not the immediate model to pursue. On top of the legal and regulatory complexities surrounding its implementation, the majority of tested machine learning (ML)-based predictive algorithms do not display the exquisite performance needed to render them unequivocal, standalone decision makers for matters with direct implications to human health.

A qualitative exploration of obesity bias and stigma in Irish healthcare; the patients' voice.

Background: Current data indicates 70% of adults with obesity report experiencing bias and stigmatisation when engaging with healthcare. Most studies to date, have focused on weight bias from a healthcare professional's perspective. Few have explored weight bias from the perspective of the individual living with obesity and no study has conducted this research in the Irish context.