Design and evaluation of a non-contact AI system for monitoring unplanned device removal in neurocritical care.

Detalles Bibliográficos
Publicado en:BMC Nursing Vol. 24; no. 1; pp. 1 - 9
Autores principales: Shi, Zhongjie, Huang, Hualing, Shi, Taotao, Li, Dongfeng, Li, Chongfei, Chen, Yixia, Li, Zhangyu, Chen, Sifang, Wang, Zhanxiang
Formato: pictorial research tables/charts Journal Article
Publicado: BioMed Central 10/8/2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Design and evaluation of a non-contact AI system for monitoring unplanned device removal in neurocritical care.
      aug:
        au:
          Shi, Zhongjie
          Huang, Hualing
          Shi, Taotao
          Li, Dongfeng
          Li, Chongfei
          Chen, Yixia
          Li, Zhangyu
          Chen, Sifang
          Wang, Zhanxiang
        affil: https://ror.org/0006swh35 Department of Neurosurgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 361003, Xiamen, China
      sug:
        subj:
          Artificial Intelligence Utilization
          Device Removal
          Systems Design
          Systems Analysis
          Neurosurgery
          Postoperative Care
          Human
          Pilot Studies
          User-Computer Interface
          Computer Hardware
          Computer Processor
          Cloud Computing
          Drainage Equipment and Supplies
          Catheters and Tubes
          Prospective Studies
          Randomized Controlled Trials
          Descriptive Statistics
          Comparative Studies
          Convenience Sample
          Risk Assessment
          Interrater Reliability
          kappa Statistic
          Random Assignment
          Neuroscience Nursing
          Data Analysis Software
          T-Tests
          Chi Square Test
          Fisher's Exact Test
          Mann-Whitney U Test
          Confidence Intervals
          Odds Ratio
          Relative Risk
          Male
          Female
          Adult
          Middle Age
          Aged
          Clinical Indicators
          Surgical Patients
          Perioperative Nursing
          Glasgow Coma Scale
          Scales
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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