Digital and computational pathology

AI diagnostics offer great potential for the future – and as a disease of many challenges, prostate cancer is a great first target

Pathologists and laboratory medicine professionals must take informatics data from concept to clinic

Diagnostic errors are a high-priority patient safety issue – and image analysis using artificial intelligence could help detect and prevent mistakes

In today’s increasingly connected society, how can digital pathology facilitate long-distance diagnosis and ease resource pressures across the globe?

We sit down with pathology informatics trailblazer Liron Pantanowitz to learn how he got into the field and where he sees AI taking it in the future

Image search is vital to getting the most out of the exabytes of unstructured image data laboratories will gather in the near future

With increased adoption and capability of digital pathology solutions, reliability and high-quality images are key

Two new computational pathology tools offer promise in the challenging arena of renal pathology

Augmented intelligence may increase pathologist efficiency, reduce workloads, and improve patient care and outcomes

How converting one hospital system to fully digitized diagnosis has increased efficiency and provided excellent return on investment