On the application research of artificial intelligence technology in medical imaging

Meng Niu

doi:10.54097/tvmr0r89

Authors

Meng Niu

DOI:

https://doi.org/10.54097/tvmr0r89

Keywords:

Artificial intelligence, medical imaging, Computer aided diagnosis, Computer aided prediction system, Deep learning.

Abstract

Medical images are an important basis for medical diagnosis. Nowadays, Artificial intelligence algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. In the context of COVID-19, image recognition functions based on artificial intelligence have been gradually applied to the recognition of various medical images. In medical imaging, AI has shown great potential by revolutionizing diagnostic imaging, improving accuracy, efficiency, and improved patient outcomes. At present, the three types of AI application in the field of medical imaging mainly include image recognition and analysis, auxiliary diagnosis and treatment scheme optimization. Firstly, this paper introduces the current research progress of artificial intelligence technology. At the same time, the current deep learning algorithm based on one of the artificial intelligence algorithms has achieved good results in medical image processing, so as to carry out related application research. Secondly, according to the current situation of clinical diagnosis, aiming at the problems in the current society, this paper lists the existing research results. Finally, the future development trend of deep learning based on artificial intelligence technology is prospected, and the medical community is expected to seize the application opportunities of artificial intelligence in the medical field and meet the corresponding challenges.

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