The application of AutoML in histology is crucial for several reasons. First, it addresses the shortage of expert pathologists by automating routine tasks, thus allowing them to focus on more complex cases. Second, AutoML can significantly improve the accuracy and consistency of diagnoses by minimizing human error. Lastly, it accelerates the data analysis process, leading to faster results and treatment planning.
