Discussion of artificial intelligence application in medical imaging
10.16781/j.0258-879x.2018.08.0813
- Author:
Yi XIAO
1
Author Information
1. Department of Radiology, Changzheng Hospital, Navy Medical University (Second Military Medical University)
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Deep neural network;
Differential diagnosis;
Discovery of anomalies;
Medical imaging;
Quantitative measurements
- From:
Academic Journal of Second Military Medical University
2018;39(8):813-818
- CountryChina
- Language:Chinese
-
Abstract:
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.
