Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis.

Takayuki Takahashi Hikaru Matsuoka Rieko Sakurai Jun Akatsuka Yusuke Kobayashi Masaru Nakamura Takashi Iwata Kouji Banno Motomichi Matsuzaki Jun Takayama Daisuke Aoki Yoichiro Yamamoto Gen Tamiya

Published in: Journal of gynecologic oncology (2022)

Our novel AI algorithm can accurately determine high-grade lesions associated with prognosis on colposcopic images, and these results provide an insight into the additional utility of colposcopy for the management of patients with CIN2.

Keyphrases

high grade
artificial intelligence
deep learning
machine learning
low grade
big data
convolutional neural network
optical coherence tomography
neural network