About this Research Topic
Patient monitoring is an important part of the treatment process for chronic diseases such as diabetes, heart diseases, Parkinson’s and so forth. Traditionally, patient monitoring was carried out at regular intervals in hospitals, however, with recent advances in medical technology, this monitoring process has become independent of hospitals. One of the unique problems of the out-of-hospital monitoring process is the evaluation of the data as patients can now be monitored and diagnosed outside of the hospital. Artificial intelligence has become an important part of patient monitoring systems as it is now possible to check patient’s conditions remotely, and warn them and/or the hospital before any emergencies arise.
In its simplest form, a remote patient monitoring system is a device that transmits data collected from sensors connected to the patient, to the hospital or specialist. The most important weakness of this structure is that the existing communication infrastructure does not have the capacity to transmit the collected data. However, recent developments in communication technologies have almost completely eliminated this problem. Thus, the problem of determining the patient's condition by processing the data correctly and on time has gained importance. At this point, artificial intelligence algorithms become a suitable solution to this problem. Therefore, in order to raise awareness about the current and future applications of artificial intelligence in the field of health sciences, this Research Topic focuses on how artificial intelligence will affect the future of remote health applications.
This Research Topic focuses on both theoretical and practical aspects of patient monitoring applications based on artificial intelligence methods. The following topics are welcomed but not limited to:
- Intelligent patient monitoring systems
- Wearable intelligent sensors for health applications
- Remote diagnostic support systems
- Pre- and post-treatment monitoring systems
- Condition monitoring for elderly people
In its simplest form, a remote patient monitoring system is a device that transmits data collected from sensors connected to the patient, to the hospital or specialist. The most important weakness of this structure is that the existing communication infrastructure does not have the capacity to transmit the collected data. However, recent developments in communication technologies have almost completely eliminated this problem. Thus, the problem of determining the patient's condition by processing the data correctly and on time has gained importance. At this point, artificial intelligence algorithms become a suitable solution to this problem. Therefore, in order to raise awareness about the current and future applications of artificial intelligence in the field of health sciences, this Research Topic focuses on how artificial intelligence will affect the future of remote health applications.
This Research Topic focuses on both theoretical and practical aspects of patient monitoring applications based on artificial intelligence methods. The following topics are welcomed but not limited to:
- Intelligent patient monitoring systems
- Wearable intelligent sensors for health applications
- Remote diagnostic support systems
- Pre- and post-treatment monitoring systems
- Condition monitoring for elderly people
Keywords: Patient Monitoring, Artificial Intelligence, e-health, wearable sensors, remote health
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