… The reliability of manual patient monitoring systems depends on staff time … artificial
intelligence-enabled remote patient monitoring applications in this section 4.1 Vital signs monitoring …

… diet monitoring, physical activity monitoring, and medication management. Therefore, there
is an increasing interest and need in patient monitoring … Remote patient monitoring is an …

… In this study, we showed the feasibility of pervasive monitoring of patients in the ICU. This
is the first study to develop an autonomous system for patient monitoring in the ICU. We …

… : Artificial intelligence (AI) enables remote patient monitoring (RPM) which reduces costs by
triaging patients … The FDA regulates AI in medical devices and aims to ensure patient safety, …

… The performance of the urination patient monitoring system proposed in this study was
evaluated in 2 steps. Specifically, the accuracy was evaluated by dividing the system into (1) a …

… doctors monitor the activities of their patients and vitals during such activities. Currently, this
study focuses on monitoring the activity parameters of patients, such as whether a patient is …

… machine learning-based models for primary lower extremity arthroplasty that preoperatively
predict patient-… TKA that permits remote patient monitoring to evaluate therapy compliance, …

… for remote monitoring, use cases for artificial intelligence (AI), … to the improvement of patient
monitoring. We further aimed to … requirements of future patient monitoring. Statistical analyses …

… The advantages of remote patient monitoring include the capability to fully monitor sick …
allowing patients to maintain their normal activity. Those that gain from remote patient monitoring …

… Data analytics platform used in this method for monitoring is … patients monitoring that
makes use of machine learning … The patient data collected from the intelligent system further …