FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362569256> ?p ?o ?g. }

• W4362569256 endingPage "e46581" @default.
• W4362569256 startingPage "e46581" @default.
• W4362569256 abstract "Background Parkinson disease (PD) is the second most prevalent neurodegenerative disease, with around 10 million people with PD worldwide. Current assessments of PD symptoms are conducted by questionnaires and clinician assessments and have many limitations, including unreliable reporting of symptoms, little autonomy for patients over their disease management, and standard clinical review intervals regardless of disease status or clinical need. To address these limitations, digital technologies including wearable sensors, smartphone apps, and artificial intelligence (AI) methods have been implemented for this population. Many reviews have explored the use of AI in the diagnosis of PD and management of specific symptoms; however, there is limited research on the application of AI to the monitoring and management of the range of PD symptoms. A comprehensive review of the application of AI methods is necessary to address the gap of high-quality reviews and highlight the developments of the use of AI within PD care. Objective The purpose of this protocol is to guide a systematic review to identify and summarize the current applications of AI applied to the assessment, monitoring, and management of PD symptoms. Methods This review protocol was structured using the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) and the Population, Intervention, Comparator, Outcome, and Study (PICOS) frameworks. The following 5 databases will be systematically searched: PubMed, IEEE Xplore, Institute for Scientific Information’s Web of Science, Scopus, and the Cochrane Library. Title and abstract screening, full-text review, and data extraction will be conducted by 2 independent reviewers. Data will be extracted into a predetermined form, and any disagreements in screening or extraction will be discussed. Risk of bias will be assessed using the Cochrane Collaboration Risk of Bias 2 tool for randomized trials and the Mixed Methods Appraisal Tool for nonrandomized trials. Results As of April 2023, this systematic review has not yet been started. It is expected to begin in May 2023, with the aim to complete by September 2023. Conclusions The systematic review subsequently conducted as a product of this protocol will provide an overview of the AI methods being used for the assessment, monitoring, and management of PD symptoms. This will identify areas for further research in which AI methods can be applied to the assessment or management of PD symptoms and could support the future implementation of AI-based tools for the effective management of PD. International Registered Report Identifier (IRRID) PRR1-10.2196/46581" @default.
• W4362569256 created "2023-04-06" @default.
• W4362569256 creator A5008915620 @default.
• W4362569256 creator A5050860301 @default.
• W4362569256 creator A5070253070 @default.
• W4362569256 creator A5070531018 @default.
• W4362569256 creator A5081487022 @default.
• W4362569256 date "2023-06-14" @default.
• W4362569256 modified "2023-10-14" @default.
• W4362569256 title "Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review" @default.
• W4362569256 cites W1232419225 @default.
• W4362569256 cites W144546796 @default.
• W4362569256 cites W1572319397 @default.
• W4362569256 cites W1827984733 @default.
• W4362569256 cites W1995911424 @default.
• W4362569256 cites W1997203264 @default.
• W4362569256 cites W2015448555 @default.
• W4362569256 cites W2050066532 @default.
• W4362569256 cites W2065414989 @default.
• W4362569256 cites W2083588517 @default.
• W4362569256 cites W2089335776 @default.
• W4362569256 cites W2098923148 @default.
• W4362569256 cites W2112863940 @default.
• W4362569256 cites W2129135333 @default.
• W4362569256 cites W2142629638 @default.
• W4362569256 cites W2145954079 @default.
• W4362569256 cites W2147554125 @default.
• W4362569256 cites W2157594323 @default.
• W4362569256 cites W2167042818 @default.
• W4362569256 cites W2168400204 @default.
• W4362569256 cites W2536544939 @default.
• W4362569256 cites W2588681363 @default.
• W4362569256 cites W2763160983 @default.
• W4362569256 cites W2774455886 @default.
• W4362569256 cites W2789894922 @default.
• W4362569256 cites W2901724277 @default.
• W4362569256 cites W2904404980 @default.
• W4362569256 cites W2920462083 @default.
• W4362569256 cites W2921410104 @default.
• W4362569256 cites W2952952832 @default.
• W4362569256 cites W2961064073 @default.
• W4362569256 cites W2990845518 @default.
• W4362569256 cites W2997569720 @default.
• W4362569256 cites W2999929466 @default.
• W4362569256 cites W3013520867 @default.
• W4362569256 cites W3023416119 @default.
• W4362569256 cites W3048658793 @default.
• W4362569256 cites W3095937415 @default.
• W4362569256 cites W3103605846 @default.
• W4362569256 cites W3118615836 @default.
• W4362569256 cites W3126961105 @default.
• W4362569256 cites W3127025404 @default.
• W4362569256 cites W3131885821 @default.
• W4362569256 cites W3133494437 @default.
• W4362569256 cites W3154237080 @default.
• W4362569256 cites W3158559908 @default.
• W4362569256 cites W3165508253 @default.
• W4362569256 cites W3190331646 @default.
• W4362569256 cites W3197233575 @default.
• W4362569256 cites W3204943119 @default.
• W4362569256 cites W3211590566 @default.
• W4362569256 cites W4210542220 @default.
• W4362569256 cites W4214757544 @default.
• W4362569256 cites W4220977371 @default.
• W4362569256 cites W4229069134 @default.
• W4362569256 cites W4281572149 @default.
• W4362569256 cites W4283752014 @default.
• W4362569256 cites W4289690809 @default.
• W4362569256 doi "https://doi.org/10.2196/46581" @default.
• W4362569256 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37314853" @default.
• W4362569256 hasPublicationYear "2023" @default.
• W4362569256 type Work @default.
• W4362569256 citedByCount "1" @default.
• W4362569256 countsByYear W43625692562023 @default.
• W4362569256 crossrefType "journal-article" @default.
• W4362569256 hasAuthorship W4362569256A5008915620 @default.
• W4362569256 hasAuthorship W4362569256A5050860301 @default.
• W4362569256 hasAuthorship W4362569256A5070253070 @default.
• W4362569256 hasAuthorship W4362569256A5070531018 @default.
• W4362569256 hasAuthorship W4362569256A5081487022 @default.
• W4362569256 hasBestOaLocation W43625692561 @default.
• W4362569256 hasConcept C142724271 @default.
• W4362569256 hasConcept C17744445 @default.
• W4362569256 hasConcept C189708586 @default.
• W4362569256 hasConcept C199539241 @default.
• W4362569256 hasConcept C204787440 @default.
• W4362569256 hasConcept C2776478404 @default.
• W4362569256 hasConcept C2777466982 @default.
• W4362569256 hasConcept C2779134260 @default.
• W4362569256 hasConcept C2779473830 @default.
• W4362569256 hasConcept C2780385302 @default.
• W4362569256 hasConcept C2908647359 @default.
• W4362569256 hasConcept C71924100 @default.
• W4362569256 hasConcept C83867959 @default.
• W4362569256 hasConcept C99454951 @default.
• W4362569256 hasConceptScore W4362569256C142724271 @default.
• W4362569256 hasConceptScore W4362569256C17744445 @default.
• W4362569256 hasConceptScore W4362569256C189708586 @default.

• next