Male infertility scoring using AI-assisted image classification requiring no programming
A research group led by Dr. Hideyuki Kobayashi at Toho University Omori Medical Center in Tokyo developed an AI-assisted image classifier that provides scores for histological testis images of patients with azoospermia. The objective of Dr. Kobayashi, a urologist, was to create an easy-to-use method of pathological examination for the daily clinical practice setting. With it, testis images could be classified at 82.6% accuracy.
