AI and Sensing Technology in Medicine and Public Health
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 10997
Special Issue Editors
2. Department of Neurosurgery, Linkou Chang Gung Memorial Hospital, Taoyuan 33302, Taiwan
Interests: biomedical engineering; circuits and systems; sensors and transducers; vision; instrumentation and measurement
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Geometric deep learning is a new theoretical concept of artificial intelligence proposed in 2015. Combining the ideas of symmetry and invariance in manifold structures and the gauge-equivariant in theoretical physics, it tries to integrate the conventional architectures of deep neural networks into the non-Euclidean space. From the computer vision perspective, the theoretical framework of geometric deep learning would progress the development and optimization of contemporary deep neural networks lightweight framework. Furthermore, it also facilitates and fuses convolutional operations and theoretical mathematics. Thus, it would propose a new structure for edge computing and tiny machine learning (tinyML) in sensing applications. Last but not least, it has been three years since the outbreak of the coronavirus virus pneumonia COVID-19, and many researchers hope to understand the development and distribution of the virus through the situation of the epidemic that has already occurred. Therefore, we also hope that scholars can help the world by investigating integrating this kind of artificial intelligence research so that the world's public health system can be helped through establishing a more complete prediction mechanism, thereby achieving the ultimate goal of early protection. Moreover, integrating AI with sensing is promising, and can significantly intensify sensing applications, thereby obtaining more accurate results. Topics include but are not limited to:
- Geometric deep learning for active learning;
- Geometric deep learning for biomedical applications;
- Computer vision techniques developed using geometric deep learning;
- Theoretical mathematics applied on biomedical images;
- Sensors embedded with lightweight neural networks;
- AI-based classification and prediction methods for Covid-19
- Interaction between AI and sensing for unmet needs
Dr. Cihun-Siyong Gong
Dr. Chien-Chang Chen
Guest Editors
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Keywords
- geometric deep learning
- computer vision
- theoretical mathematics applied in neural networks
- lightweight neural networks
- machine learning
- artificial intelligence
- sensing
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