Digital and computational pathology

Artificial intelligence will put pathologists front and center in patient care decisions, says Thomas J. Fuchs

Examining the past five years of publishing on computer-aided diagnosis

Using AI in diagnosis can be a risky click

From insomnia genetics to computational algorithms, we bring you the latest research in molecular pathology

Stunning images show the promise of AI in pathology outside the lab

A look into how one group is creating a global digital pathology network with help from Leica Biosystems.

A pathology message pool helps put patients’ minds at ease by facilitating communication with their pathologists

A new machine learning system predicts and designs effective viral diagnostics

Digital pathology is here to stay – but, to address the coming workforce shortage and do best by our patients, we need to embrace it

What does “going artificial” actually mean for laboratories?