Quantifying AI-Powered Digital Workflows in Diagnostic Laboratories

This technical report presents the findings of a feasibility study conducted by Quest Diagnostics in collaboration with Proscia and Ibex Medical Analytics, focusing on the integration of AI-powered digital pathology workflows in diagnostic laboratories. The study aims to evaluate the impact of these technologies on lab efficiency, specifically in the context of prostate cancer diagnosis using core needle biopsies. It outlines the challenges faced by commercial labs, including a shortage of pathologists and increasing workloads, and discusses how AI tools can enhance diagnostic accuracy and streamline workflows. The methodology involved a retrospective observational study with 180 prostate cases, comparing traditional diagnostic methods with those enhanced by AI. The report details the study's design, goals, and the data collected, emphasizing the potential for improved turnaround times and pathologist satisfaction. Overall, the findings suggest significant operational benefits from adopting digital pathology and AI technologies in large diagnostic settings.