人工智能视觉图像分割在腔镜外科教学中的应用

Application of artificial intelligence visual image segmentation in surgical training

随着科技手段的发展和外科模式的改变,外科教学的方式也随之进步。人工智能的深度介入将持续影响医疗行业变革。"数据"是人工智能探索的基础,腔镜外科手术产生的海量视频、图像数据高度契合人工智能模型开发的需求。人工智能视觉分割是机器学习进行情景感知的基础,目前已实现了术中自动化手术器械的分割识别、部分术式的手术流程识别和关键手术区域识别。在进一步提升准确性后,手术视频的全自动识别和标注将有助于低年资外科医师高效自主学习手术。这或可改变传统外科的教学模式。

Surgical training has progressed with the development of medical technology.The in-depth intervention of artificial intelligence will continue to influence the medical industry."Data"is the basis for AI exploration,and the massive video and image data generated by laparoscopic surgery is highly suitable for the development of AI models.Artificial intelligence visual segmentation is the basis of machine learning for situational awareness,and has already achieved the segmentation and identification of automated intraoperative surgical instruments,the identification of surgical processes in some surgical procedures,and the identification of key surgical areas.With further improvement in accuracy,fully automated recognition and annotation of surgical videos will help junior surgeons learn surgery efficiently and autonomously.This may change the traditional teaching mode of surgery.