Computer-Assisted Diagnosis: What's Hot in 2023

Recent examples in medical pathology include deep learning-based tools that facilitate breast and prostate cancer computer-assisted diagnosis

Computer-assisted diagnosis (CAD) powered by deep-learning based AI provides an important opportunity to advance the non-clinical pathologist’s workflow in 2023 and beyond. Pathologists are working with computer scientists to develop these deep learning algorithms using convolutional neural networks (CNNs). CNNs are especially suited for the digital pathology workflow and have advanced the potential for CAD in practice. Recent examples in medical pathology include deep learning-based tools that facilitate breast and prostate cancer CAD. For non-clinical pathology, we expect these deep learning algorithms to help pathologists detect common xenobiotic-related and spontaneous abnormalities with greater efficiency and consistency. Several proof-of-concept algorithms for non-clinical pathology applications have been described in the peer-reviewed literature and we expect these to be available at the bench of the non-clinical pathologist in 2023.

--Daniel Rudman, PhD, Director of Global Digital Toxicologic Pathology, Charles River