人工智能在甲状腺结节超声诊断中的应用进展

超声作为甲状腺病变的首选检查方法,可在发现病灶的同时对其生物学行为进行初步判断,具有便捷、安全等优势,但存在一定的操作者依赖性.人工智能的发展为临床工作提供了第二种意见,可辅助医师发现病灶,提高诊断准确性,减少人为因素所致的诊断偏倚.基于深度学习网络所构建的计算机辅助诊断系统,其诊断能力在一定程度上可与经验丰富的超声医...

Application progress of artificial intelligence in ultrasonic diagnosis of thyroid nodule

This paper summarizes the research progress of artificial intelligence technology in ultrasonic diagnosis of thyroid nodule. In recent years, the incidence of thyroid cancer is on the rise, and thyroid screening is included in routine physical examination, which increases the clinical workload. Oversensitive and oversensitive. Although pathological diagnosis is the gold standard, not all lesions need to be removed at the same time. FNA can effectively improve the accuracy of diagnosis, develop individual diagnosis and treatment, and avoid over-diagnosis. Ultrasound, as the first choice in the diagnosis of thyroid lesions, can effectively find the lesions and preliminarily judge the biological behavior of the lesions. It is convenient and effective, and has unique diagnostic advantages, but it has a certain operator dependence. The development of artificial intelligence provides a "second opinion" for clinical work and becomes a "third eye" for doctors, assisting doctors to find lesions, improving the accuracy of diagnosis and reducing the diagnosis deviation caused by human factors. Although the diagnostic ability of CAD system based on DL is comparable to that of experienced physicians to a certain extent, it lacks transparency and interpretability, and still has a long way to go in information security.