A smartwatch and sophisticated artificial intelligence to analyze data could open a new frontier in monitoring disease progression, researchers say.
Please confirm that you would like to log out of Medscape. If you log out, you will be required to enter your username and password the next time you visit.MILAN — A tool kit combining a wearable device with automated algorithms allows for the passive monitoring of disease parameters in people withTwenty patients were enrolled, only half of whom correctly completed all of the assessments and wore the included smartwatch regularly.
The findings were presented at the 9th Joint European Committee for Treatment and Research in Multiple Sclerosis-Americas Committee for Treatment and Research in Multiple Sclerosis 2023.is to leverage"big data" through artificial intelligence and machine learning to provide"clinically actionable information" on patients with brain disorders that"complements medical recommendations" and thus improves treatment.
This led to some changes in the way data were collected, and the team developed a social network channel so patients would be able to ask for support and stay engaged in the study.Twenty people with relapsing-remitting multiple sclerosis were enrolled, of whom, 14 were women. The mean age was 37.8 years, and the mean disease duration was 9.1 years. The mean Expanded Disability Status Scale was 2.2.
The mean Modified Fatigue Impact Scale score was 18.5, and the Pittsburgh Sleep Quality Index score was 25.2. The System Usability Scale revealed"high levels of confidence" with the tool kit, the team says, as well as"very high" intention of using it in the future. "There are nice benefits of an integrated platform" such as that used in the current study, Bove noted, adding it is"even better if it can also send the data to clinicians."
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