Pathology systems such as digital microscopy, laboratory instruments, middleware, LIS, and EHR are starting to incorporate components based on machine learning and artificial intelligence. However, pathologists are poorly equipped to verify the quality of performance of the various digital pathology and other laboratory systems other than by using documents provided by the system vendors, according to Dr. Matthew Hanna, who is teaching a CAP19 course on navigating the implementation challenges of systems incorporating machine learning and artificial intelligence (learn more about CAP19: https://capatholo.gy/2Vzqkm9).

In this CAPcast interview, Dr. Hanna discusses these challenges and how pathologists can avoid problems using best practices in performance assessment from initial deployment through ongoing maintenance of quality.