Forging the tools for a computer-aided workflow in transplant pathology
Dr Candice Roufosse (Consultant Cellular Pathologist and Subspecialty Lead for Medical Renal, Transplant and EM pathology) and Callum Arthurs (Research Assistant in digital pathology) from the Dept of Immunology and Inflammation wrote an editorial in the Lancet Digital Health referring to a paper in the same issue by Jesper Kers, Roman Bülow et al.
The rise of digital pathology will shape the work patterns of clinical cellular pathologists over the next decade, and at the same time opens the door to the application of machine learning for improvement of interpretation.
Although much of the application of machine learning to date has focused on cancer diagnosis, more recently it has also been applied to diagnosis of immune-mediated diseases of the kidney, such as glomerulonephritis and immune rejection of the transplanted kidney.
The Lancet Digital Health – Forging the tools for a computer-aided workflow in digital pathology