Application of Digital Circuits in Artificial Intelligence Medical Devices
- DOI
- 10.2991/978-94-6463-864-6_2How to use a DOI?
- Keywords
- Digital Circuits; Artificial Intelligence; Medical Devices
- Abstract
In today’s medical field, artificial intelligence medical devices have developed rapidly and have become an important part of the modern medical system. Digital circuit technology, as the cornerstone of modern electronic systems, is crucial in advancing artificial intelligence of medical devices. This paper first introduces the background of the research topic, emphasizing the importance of digital circuits in artificial intelligence medical devices. Then, the sub-topics of the paper are briefly introduced, including the application of digital circuits in signal processing, power consumption optimization and other applications in wearable medical devices, the role of improving the accuracy and efficiency of image analysis in medical image processing, and the application of improving device performance and medical service quality in medical device automation control. The research in this paper is of great value to promote the further development of artificial intelligence medical equipment and promote the intelligence and efficiency of the medical industry.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yulin Liao PY - 2025 DA - 2025/10/23 TI - Application of Digital Circuits in Artificial Intelligence Medical Devices BT - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025) PB - Atlantis Press SP - 4 EP - 11 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-864-6_2 DO - 10.2991/978-94-6463-864-6_2 ID - Liao2025 ER -