使,

Kyubaek Yoon1, Yiseul Choi2, Myoungho Lee2

  • 1Department of Artificial Intelligence and Software, College of Artificial Intelligence, Ewha Womans University, Seoul, 03766, Korea.

PubMed
概括

一个新的深度学习框架显著改善了从牙科成像中预测下膜神经 (IAN) 损伤的预测. 人工智能模型在形光束计算机断层扫描 (CBCT) 分析方面表现出色,优于外科医生,但专家解释对于全景放射图仍然至关重要.