A5027856340- Wound Healing and Treatments
- Pressure Ulcer Prevention and Management
- Diabetic Foot Ulcer Assessment and Management
- Burn Injury Management and Outcomes
- Digital Mental Health Interventions
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Fire Detection and Safety Systems
- Attachment and Relationship Dynamics
- Mental Health Research Topics
- Surgical site infection prevention
National Taiwan University
2021-2025
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patients who suffer from this disease may have difficulty accessing medical care. Recently, COVID-19 pandemic has exacerbated situation. Automatic diagnosis based on machine learning (ML) brings promising solutions. Traditional ML requires complicated preprocessing steps for feature extraction. Its clinical applications are thus limited particular datasets. Deep (DL), which extracts features...
Abstract Pressure injuries are a common problem resulting in poor prognosis, long-term hospitalization, and increased medical costs an aging society. This study developed method to do automatic segmentation area measurement of pressure using deep learning models light detection ranging (LiDAR) camera. We selected the finest photos patients with injuries, 528 total, at National Taiwan University Hospital from 2016 2020. The margins were labeled by three board-certified plastic surgeons....
Pressure ulcers are a common problem in hospital care and long-term care. caused by prolonged compression of soft tissues, which can cause local tissue damage even lead to serious infections. This study uses deep learning algorithm construct system that diagnoses pressure assists making treatment decisions, thus providing additional reference for first-line caregivers.We performed retrospective research medical records find photos patients with at National Taiwan University Hospital from...
Accurate assessment of the percentage total body surface area (%TBSA) burned is crucial in managing burn injuries. It difficult to estimate size an irregular shape by inspection. Many articles reported discrepancy estimating %TBSA different doctors. We set up a system with multiple deep learning (DL) models for estimation, as well segmentation possibly poor-perfused regions from entire wound. proposed boundary-based labeling datasets wound and palm, whereas region-based dataset Several...
It is generally understood that wound areas appear smaller when calculated using 2D images, but the factors contributing to this discrepancy are not well-defined. With rise of 3D photography, segmentation, and measurement, more accurate assessments have become possible. We developed an application called Burn Evaluation Network (B.E.N.), which combines a deep learning model with LiDAR technology perform both measurements. In first part our study, we used burn templates verify results...
Background Accurate assessment of the percentage total body surface area (%TBSA) burn wounds is crucial in management patients. The resuscitation fluid and nutritional needs patients, their need for intensive unit care, probability mortality are all directly related to %TBSA. It difficult estimate a irregular shape by inspection. Many articles have reported discrepancies estimating %TBSA different doctors. Objective We propose method, based on deep learning, wound detection, segmentation,...
Individuals with panic disorder frequently face ongoing symptoms, suboptimal treatment adherence, and increased relapse rates. Although mobile health interventions have shown promise in improving outcomes for numerous mental conditions, their effectiveness, specifically disorder, has yet to be determined.This study investigates the effects of a mobile-aided case management program on symptom reduction quality care among individuals disorder.This 3-year cohort enrolled 138 participants...
<sec> <title>BACKGROUND</title> Accurate assessment of the percentage total body surface area (%TBSA) burn wounds is crucial in management patients. The resuscitation fluid and nutritional needs patients, their need for intensive unit care, probability mortality are all directly related to %TBSA. It difficult estimate a irregular shape by inspection. Many articles have reported discrepancies estimating %TBSA different doctors. </sec> <title>OBJECTIVE</title> We propose method, based on deep...