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Juzi Wang

Biographic Data

ID9659356
NAMEJuzi Wang
GIVEN NAMESJuzi
FAMILY NAMEWang
SIGNATUREWANG J
AFFILIATIONSShanxi Medical University
ORCID0000-0001-5045-8632
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Research on real-time detection and staging technology for pressure injuries in critically ill patients based on the Yolov8 deep learning model

    Open Access•Fengbo GUO, Ningbo Cao et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Aiming to address the clinical challenges of high incidence rates of pressure injuries (PIs) in critically ill patients and the subjectivity and inefficiency of traditional assessment methods, this study developed a real-time detection and staging technology based on the YOLOv8 deep learning model. This technology enables rapid and objective staging of PIs, aiming to overcome the limitations of current manual assessments and provide s…

  • The mediating role of intellectual activities in the relationship between depressive symptoms and catastrophic health expenditure among middle-aged and older adults

    Open Access•Xuejiao Cao, Juzi Wang et al.•ARTICLE•Current Psychology•2025

No prominent works on this page.

  • The mediating role of intellectual activities in the relationship between depressive symptoms and catastrophic health expenditure among middle-aged and older adults

    Open Access•Xuejiao Cao, Juzi Wang et al.•ARTICLE•Current Psychology•2025

  • Research on real-time detection and staging technology for pressure injuries in critically ill patients based on the Yolov8 deep learning model

    Open Access•Fengbo GUO, Ningbo Cao et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Aiming to address the clinical challenges of high incidence rates of pressure injuries (PIs) in critically ill patients and the subjectivity and inefficiency of traditional assessment methods, this study developed a real-time detection and staging technology based on the YOLOv8 deep learning model. This technology enables rapid and objective staging of PIs, aiming to overcome the limitations of current manual assessments and provide s…

Anxiety (1 work) · Clinical Psychology (1 work) · Critically ill (1 work) · Deep learning (1 work) · Depressive symptoms (1 work) · Developmental psychology (1 work) · Gerontology (1 work) · Global Health Care Issues (1 work) · Health disparities and outcomes (1 work) · Healthcare Systems and Reforms (1 work)

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