人工智能在肺结节诊断中的应用

Abstract:Artificial Intelligence （AI） is a branch of Computer Science. It makes machines process intelligent abilities of perception，analysis，reasoning，and decision-making to provide related products and services by multiple techniques，such as computer sciences，life sciences，and clinical medicine. With the emergence of deep learning neural networks in recent decades，AI has achieved performance beyond human in various tasks involving high-dimensional big data processing. Such progress improves the speed and scope of related theoretical research，application testing，and product landing. At present，AI has been widely applied to a variety of medical images，such as radiographic images，ultrasound images，pathological images，and endoscopic images. Related assistant applications have also rapidly transitioned from the theoretical experimental stage into clinical use. In current landing applications based on AI，the analysis and assisted diagnosis according to lung images develop quickly and maturely into widely commercial clinical use. This article focus on the AI-assisted diagnosis of lung nodules and reviews the current status and foreground of clinical application of AI，especially deep learning. Furthermore，more questions would be thought and discussed，including the future development of medical image analysis，and the improvement of the quality and efficiency of radiologists based on AI，as well as the improvement of productization and generalization of AI based products and services.

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