Towards Clinical Application of Artificial Intelligence in Ultrasound Imaging

Biomedicines

Akira Sakai¹  Suguru Yasutomi¹  Syuzo Kaneko²  Hidenori Machino²  Masaaki Komatsu²  Ken Asada²  Ryuji Hamamoto²  Kanto Shozu³  Ai Dozen³ 

[1] Artificial Intelligence Laboratory, Research Unit, Fujitsu Research, Fujitsu Ltd., 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki, Kanagawa 211-8588, Japan;Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan;Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan;

关键词: ultrasound imaging;    artificial intelligence;    machine learning;    deep learning;    preprocessing;    classification;   

DOI  :  10.3390/biomedicines9070720

来源: DOAJ

【 摘 要 】

Artificial intelligence (AI) is being increasingly adopted in medical research and applications. Medical AI devices have continuously been approved by the Food and Drug Administration in the United States and the responsible institutions of other countries. Ultrasound (US) imaging is commonly used in an extensive range of medical fields. However, AI-based US imaging analysis and its clinical implementation have not progressed steadily compared to other medical imaging modalities. The characteristic issues of US imaging owing to its manual operation and acoustic shadows cause difficulties in image quality control. In this review, we would like to introduce the global trends of medical AI research in US imaging from both clinical and basic perspectives. We also discuss US image preprocessing, ingenious algorithms that are suitable for US imaging analysis, AI explainability for obtaining informed consent, the approval process of medical AI devices, and future perspectives towards the clinical application of AI-based US diagnostic support technologies.

【 授权许可】

Unknown