Digital and computational pathology

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

Our field must follow in the footsteps of radiology to reap the potential rewards of digital pathology

To provide diagnostic algorithms with uniform, valid input, digital pathology images must be standardized to real-world colors

Digital pathology can be hampered by poor-quality slide images, but HistoQC aims to address the issue by automatically filtering slides by quality

The Association of Pathology Chairs’ annual meeting offers valuable information for pathologists and lab medicine professionals at every career stage

Anant Madabhushi has been at the forefront of computational pathology since its humble beginnings – but why and how did his journey in AI start?

A neural network called STORK can predict embryo quality with over 90 percent accuracy, offering fresh hope for successful in vitro fertilization.