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. 2022 Sep 10:2022:2124710.
doi: 10.1155/2022/2124710. eCollection 2022.

Perception Research of Artificial Intelligence in Environmental Public Health Physiotherapy Nursing for the Elderly

Min Shi  1 , Huadong Peng  1 , Yuanxing Lin  1 , Yiming Ma  2 , Yanxin Qi  2
Affiliations

Perception Research of Artificial Intelligence in Environmental Public Health Physiotherapy Nursing for the Elderly

Min Shi et al. J Environ Public Health. .

Retraction in

Abstract

This perceptual study focuses on developing artificial intelligence for elderly care design. It analyses and discusses the role of artificial intelligence in elderly care and its application to physiotherapy care. Artificial intelligence, as an emerging disruptive technology, is releasing the enormous energy accumulated in the technological and industrial revolutions, profoundly transforming how humans produce, live, and think about the world. Economic development and social progress are significantly impacted by it, and it has a great deal of practicality and broad application scope. Although there is a basic consensus in the 18 public understanding of AI, there is still some ambiguity and misunderstanding, knowing what is happening without understanding why. As a result, it is necessary to systematize and gain a comprehensive understanding of this concept and its associated practices.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Scope of artificial intelligence, machine learning, and deep learning.
Figure 2
Figure 2
Three stages of artificial intelligence development.
Figure 3
Figure 3
Minimum readable text size for different ages.
Figure 4
Figure 4
The Elderly and Their Aging, Demographic Sourcebook, Institute of Population Studies, Ministry of Health and Welfare, Japan.
Figure 5
Figure 5
Memory schematic.
Figure 6
Figure 6
Perceptual analysis of the image of the aged.
Figure 7
Figure 7
Schematic diagram of hybrid inductive engineering.
See this image and copyright information in PMC

References

    1. Qian K., Zhang Z., Yamamoto Y., Schuller B. W. Artificial intelligence internet of things for the elderly: from assisted living to health-care monitoring. IEEE Signal Processing Magazine . 2021;38(4):78–88. doi: 10.1109/MSP.2021.3057298. - DOI
    1. Nahian M., Ghosh T., Uddin M. N., Islam M., Mahmud M., Kaiser M. S. International Conference on Brain Informatics . Cham: Springer; 2020. Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder; pp. 275–286.
    1. Méndez J. I., Mata O., Ponce P., Meier A., Peffer T., Molina A. Challenges and Trends in Multimodal Fall Detection for Healthcare . Cham: Springer; 2020. Multi-Sensor System, Gamification, and Artificial Intelligence for Benefit Elderly People; pp. 207–235.
    1. Vercelli A., Rainero I., Ciferri L., Boido M., Pirri F. Robots in elderly care. Digit Cult-Scientific Journal on Digital Cultures . 2018;2(2):37–50.
    1. Porkodi S., Kesavaraja D. Healthcare robots enabled with IoT and artificial intelligence for elderly patients. In: Dubey A. K., Kumar A., Kumar S. R., Gayathri N., Das P., editors. In AI and IoT-Based Intelligent Automation in Robotics . Salem, MA, USA: John Wiley & Sons Inc. and Scrivener Publishing LLC; 2021. pp. 87–108.

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