The importance of automated histological analysis lies in its potential to reduce human error and improve diagnostic accuracy. Traditional histology relies heavily on the expertise of pathologists, which can lead to variability in interpretations. Automation ensures consistent results and can process large volumes of samples swiftly, aiding in faster diagnosis and treatment planning.
