New Developments in AIoT Wearable Devices for Homecare of Patients with Cancer in Post COVID19 Era
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Survivorship and Quality of Life".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 8119
Special Issue Editor
Interests: wearable devices; IoT in health; big data analytics; data visualization; long-term care; cancer management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence and the Internet of Things (IoT) and has opened a wide range of opportunities for healthcare advancements. Wearable devices, non-contact sensors, and m-health technologies are some examples of the IoT which, when connected to the internet, can collect valuable medical data. These data can provide insights about the symptoms, the patterns, and variations, enable remote care and monitoring, and encourage participatory health care among patients. Research has focused on IoT devices and how they can be used to monitor health parameters and detect health conditions. Non-contact sensors are gaining popularity in clinical settings for monitoring the vital parameters of patients. Application of artificial intelligence (AI) algorithms on the data collected from IoT devices can help in prediction, early detection, and better management of diseases. These models can assist healthcare professionals in decision making and formulating better care plans for patients. Thus, artificial intelligence has a wide range of applications for healthcare data from IoT devices.
This SI will focus on the opportunities and implementation challenges of AIoT wearable devices for the homecare of patients with cancer.
Dr. Shabbir Syed-Abdul
Guest Editor
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Keywords
- Artificial Intelligence of Things
- Artificial Intelligence
- Internet of Things
- healthcare advancements
- wearable devices
- medical data
- cancer detection
- cancer prediction
- cancer management cancer care
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