Regulatory Science on AI-based Medical Devices and Systems
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/01/01
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Journal
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Indian UGC (journal)
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Refrences3
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Citations24
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Kiyoyuki Chinzei Health Research Institute, National Institute of Advanced Industrial Science and Technology
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Akinobu Shimizu Institute of Engineering, Tokyo University of Agriculture and Technology
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Kensaku Mori Department of Intelligent Systems, Graduate School of Informatics, Nagoya University
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Kanako Harada Department of Bioengineering, School of Engineering, The University of Tokyo
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Hideaki Takeda Principles of Informatics Research Division, National Institute of Informatics
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Makoto Hashizume Department of Advanced Medical Initiatives, Faculty of Medical Sciences, Kyushu University
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Mayumi Ishizuka Laboratory of Toxicology, Division of Environmental Veterinary Sciences, Faculty of Veterinary Medicine, Hokkaido University
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Nobumasa Kato Medical Institute of Developmental Disabilities Research, Showa University
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Ryuzo Kawamori Juntendo University
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Shunei Kyo Tokyo Metropolitan Geriatric Hospital and Institute Gerontology
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Kyosuke Nagata University of Tsukuba
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Takashi Yamane Mechanical Engineering Department, School of Engineering, Kobe University
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Ichiro Sakuma Department of Bioengineering, School of Engineering, The University of Tokyo
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Kazuhiko Ohe Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo
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Mamoru Mitsuishi Department of Mechanical Engineering, School of Engineering, The University of Tokyo
Cite
Chinzei, Kiyoyuki, et al. “Regulatory Science on AI-Based Medical Devices and Systems”. Advanced Biomedical Engineering, vol. 7, 2018, pp. 118-23, https://doi.org/10.14326/abe.7.118.
Chinzei, K., Shimizu, A., Mori, K., Harada, K., Takeda, H., Hashizume, M., Ishizuka, M., Kato, N., Kawamori, R., Kyo, S., Nagata, K., Yamane, T., Sakuma, I., Ohe, K., & Mitsuishi, M. (2018). Regulatory Science on AI-based Medical Devices and Systems. Advanced Biomedical Engineering, 7, 118-123. https://doi.org/10.14326/abe.7.118
Chinzei K, Shimizu A, Mori K, Harada K, Takeda H, Hashizume M, et al. Regulatory Science on AI-based Medical Devices and Systems. Advanced Biomedical Engineering. 2018;7:118-23.
Journal Categories
Medicine
Medicine (General)
Medical technology
Science
Biology (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy | Science Robotics |
| 242 | 2017 |
| 10.1109/ICASSP.2013.6639343 | ||||
| 2. SAE J3016_201609. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. Warrendale, PA: SAE International, 2016. |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology | Scientific Reports |
| 6 | 2023 |
| AI-based Medical Image Diagnosis Support | The Journal of The Institute of Electrical Engineers of Japan | 2023 | ||
Regulatory Considerations on the use of Machine Learning based tools in Clinical Trials | Health and Technology |
| 1 | 2022 |
| Affective Computing Model With Impulse Control in Internet of Things Based on Affective Robotics | IEEE Internet of Things Journal | 2022 | ||
Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging | Frontiers in Cardiovascular Medicine |
| 6 | 2022 |
Citations Analysis
The category
Medicine: Medicine (General) 8
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Trend of Surgical Robotics, Manipulator and Device and was published in 2018. The most recent citation comes from a 2023 study titled AI-based Medical Image Diagnosis Support. This article reached its peak citation in 2020, with 8 citations. It has been cited in 21 different journals, 19% of which are open access. Among related journals, the Advanced Biomedical Engineering cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.