Real-World Application of Artificial Intelligence for Detecting Pathologic Gastric Atypia and Neoplastic Lesions.

Young Hoon Chang Cheol Min Shin Hae Dong Lee Jinbae Park Jiwoon Jeon Soo-Jeong Cho Seung Joo Kang Jae-Young Chung Yu Kyung Jun Yonghoon Choi Hyuk Yoon Young Soo Park Na Young Kim Dong Ho Lee

Published in: Journal of gastric cancer (2024)

ENAD CAD-G is superior to initial biopsy for the detection and diagnosis of gastric lesions that require endoscopic resection. ENAD CAD-G can assist community endoscopists in identifying gastric lesions that require endoscopic resection.

Keyphrases

artificial intelligence
ultrasound guided
coronary artery disease
machine learning
big data
deep learning
fine needle aspiration
healthcare
mental health
neoadjuvant chemotherapy
squamous cell carcinoma
radiation therapy