Jingyi Nie
Biographic Data
| ID | 9998014 |
|---|---|
| NAME | Jingyi Nie |
| GIVEN NAMES | Jingyi |
| FAMILY NAME | Nie |
| SIGNATURE | NIE J |
| AFFILIATIONS | Shanxi Medical University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Research on real-time detection and staging technology for pressure injuries in critically ill patients based on the Yolov8 deep learning model
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…
No prominent works on this page.
Research on real-time detection and staging technology for pressure injuries in critically ill patients based on the Yolov8 deep learning model
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…
Critically ill (1 work) · Deep learning (1 work) · Inefficiency (1 work) · Inference (1 work) · Intensive care unit (1 work) · Nosocomial Infections in ICU (1 work) · Pressure Ulcer Prevention and Management (1 work) · Stoma care and complications (1 work)