| Theme |
Depressed type colorectal cancer -- Revolution and since then |
| Title |
Endocytoscopy and artificial intelligence for depressed-type colorectal cancer |
| Author |
Masashi Misawa |
Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author |
Shin-ei Kudo |
Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author |
Yuichi Mori |
Digestive Disease Center, Showa University Northern Yokohama Hospital / Clinical Effectiveness Research Group, University of Oslo |
| Author |
Hiroki Nakamura |
Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author |
Katsuro Ichimasa |
Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author |
Kunihiko Wakamura |
Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author |
Hideyuki Miyachi |
Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author |
Fumio Ishida |
Digestive Disease Center, Showa University Northern Yokohama Hospital |
| [ Summary ] |
Ultra-magnifying endoscopy (endocytoscopy) can provide accurate histopathological predictions by evaluating in vivo cellular atypia. It is effective not only for differentiating between neoplastic and nonneoplastic lesions, but also for predicting the invasive depth of colorectal cancer. After the emergence of deep learning in machine learning, artificial intelligence (AI) has gradually been implemented in clinical practice. Currently, in Japan, AI software for colonoscopy is approved by the government and can be used in clinical practice. In this review, we discuss the efficacy of endocytoscopy and AI for treating depressed-type colorectal cancer. |