BioMed Research International

New Challenges in Applying Artificial Intelligence and Internet of Things to Geriatric Care

Publishing date
01 Jun 2022
Submission deadline
14 Jan 2022

Lead Editor

1Chaoyang University of Technology, Taichung, Taiwan

2CTBC Financial Management College, Tainan, Taiwan

3National Penghu University of Science and Technology, Magong, Taiwan

4University of Hafr Al Batin, Hafar al-Batin, Saudi Arabia

This issue is now closed for submissions.

New Challenges in Applying Artificial Intelligence and Internet of Things to Geriatric Care

This issue is now closed for submissions.


In 2020, there are an estimated 727 million people over the age of 65 worldwide, accounting for 9.3% of the total population, and it is estimated that by 2050 the elderly population will exceed 1.5 billion. With the decline in the world's fertility rate, the rapid increase in the elderly population and the phenomenon of declining birth rates have increased the dependency ratio year by year, and coupled with the severe shortage of medical staff, elderly care is putting increasing pressure on children and medical staff both psychologically and physically. Society as a whole is undergoing an aging process and solving the problem of health care for the elderly has become an important research topic.

Comprehensive and continuous services must be provided to care for the elderly. This ranges from prevention, diagnosis, treatment, and rehabilitation, to support, maintenance, and social services. The use of novel technologies to develop available services has great potential to help solve the urgent health care problems of the elderly. However, this relies on the cross-domain integration of knowledge and technologies in various professional fields, including medical care knowledge, health medicine, psychology, artificial intelligence (AI), Internet of Things (IoT), machine learning, data mining, and statistical analysis, which represents a daunting and significant challenge.

This Special Issue focuses on the application of advanced AI and IoT technologies to solve current and future elderly health care problems. We hope to develop integrated architecture, precise calculation algorithms, decision-making models, application software, and systems for advanced health care applications for the elderly.

Potential topics include but are not limited to the following:

  • Application of AI and/or IoT in geriatric health care
  • AI and/or IoT-based auxiliary medical measuring instruments or equipment
  • AI and/or IoT-based system development and tests for health care
  • Deep learning and machine learning in health analysis
  • Feasible Artificial Intelligence of Things (AIoT) architecture for current and future health care
  • Hybrid AI and/or IoT technologies for health care
  • Innovative AI and/or IoT methods for health diagnosis
  • Novel AI computational strategies for improving health care for the elderly
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