Our new perspective paper published in the Clinical Journal of the American Society of Nephrology (CJASN) showcases the potential of machine learning to automate diagnostic processes in nephropathology. With the increasing effort required to define consistent criteria for disease diagnosis and prognostication, the paper discusses the importance of incorporating technological advances to aid in the diagnostic process.
You can find more information here.