人工智能技术在医学影像中的应用讨论

Discussion of artificial intelligence application in medical imaging

深度神经网络是新一代人工智能技术,其在自然语言处理、学习能力、计算机视觉上将机器的认知能力推向了新的高度。目前,深度神经网络在医学影像中的应用主要集中在发现异常、量化测量和鉴别诊断3个方面,基于深度神经网络的医学影像研究已涉及放射影像、病理图像、超声影像、内镜影像等多个领域。深度神经网络在一些任务场景中已展现出与医师相当甚至超越医师的表现。在人工智能技术高速发展的大环境下,医师群体应客观冷静地看待技术、科学严谨地评价技术、积极开放地参与技术的提升与应用,成为技术的驾驭者,走向人工智能技术辅助下的医疗服务未来。

As a new generation of artificial intelligence technology,the deep neural network takes the cognitive ability of machine to a historical high level in natural language processing,learning ability and computer vision.At present,the application of deep neural network in medical imaging can be categorized into discovery of anomalies,quantitative measurement,and differential diagnosis.Medical imaging research based on deep neural network research has involved various medical imaging domains such as radiological imaging,pathological images,ultrasound imaging,and endoscopic imaging.In several tasks,deep neural network has demonstrated physician-level or even above-physician-level performance.In the context of rapid development of artificial intelligence in imaging medicine,physicians should adopt a more objective,scientific,and proactive attitude towards artificial intelligence technology,and become the masters of artificial intelligence technology and the creators of a futuristic medical world assisted by artificial intelligence technology.