A5100739643- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Digital Imaging for Blood Diseases
- Injury Epidemiology and Prevention
- Image Processing Techniques and Applications
- Anesthesia and Sedative Agents
- Pressure Ulcer Prevention and Management
- Family and Patient Care in Intensive Care Units
- Photoacoustic and Ultrasonic Imaging
- Grit, Self-Efficacy, and Motivation
- Intensive Care Unit Cognitive Disorders
- Psychological Well-being and Life Satisfaction
- Gastric Cancer Management and Outcomes
- Emergency and Acute Care Studies
- Abdominal Trauma and Injuries
- Problem Solving Skills Development
- Infrared Thermography in Medicine
- Colorectal and Anal Carcinomas
- Global Cancer Incidence and Screening
- SARS-CoV-2 detection and testing
- Respiratory viral infections research
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Trauma and Emergency Care Studies
Tianjin Fire Research Institute
2023
Tianjin Medical University
2018-2022
Tianjin Third Central Hospital
2018-2022
Hong Kong Polytechnic University
2022
Shanghai University of Engineering Science
2021
Beijing Institute of Technology
2016
Zhengzhou University
2010
South China Normal University
2005
ABSTRACT Background Differences in short-term cognitive function between mechanically ventilated patients treated with multicomponent interventions and those receiving routine nursing care have not been established because of the lack follow-up previous studies. Purpose This study was designed to evaluate effects pain, agitation, delirium (PAD) bundle on occurrence clinical outcomes, specifically terms function, patients. Methods Data 243 mechanical ventilation were analyzed from January...
Diabetic retinopathy is one of the leading causes blindness. However, no specific symptoms early DR lead to a delayed diagnosis, which results in disease progression patients. To determine severity levels, ophthalmologists need focus on discriminative parts retinal images. In recent years, deep learning has achieved great success medical image analysis. most works directly employ algorithms based convolutional neural networks (CNNs), ignore fact that difference among classes subtle and...
Compared with microwave, THz has higher resolution, and compared infrared, better penetrability. Human body radiate also, its photon energy is low, it harmless to human body. So great potential applications in the searching system. Dual-band images may contain different information for same scene, so dual-band imaging have been a significant research subject of technology. Base on passive system which composed 94GHz 250GHz cell detector, this paper researched preprocessing fusion algorithm...
Objective To investigate Chinese version of the Denver Emergency Department Trauma Organ Failure Score and examine its reliability validity. Methods The original ED TOF was translated into back modified for cultural adaptation according to guidelines. A survey using conducted on 313 trauma patients in order verify validity. Results Factor analysis extracted three common factors, which explained 63.327% variance total scale, each item had high factor loading quantity (>0.4). The...
Objective To translate The Pressure Ulcer Risk Primary or Secondary Evaluation Tool (PURPOSE-T) into Chinese, and assess its reliability validity in Chinese hospitalized patients. Methods The original PURPOSE-T was translated back modified for cultural adaptation according to guidelines. of the version were tested 230 patients. Results The consists three parts contains 25 entries. inter-rater consistency Kappa coefficient 0.798, weighted 0.843. evaluation results compared with...
Diabetic retinopathy (DR) is one of the leading causes blindness. However, no specific symptoms early DR lead to a delayed diagnosis, which results in disease progression patients. To determine severity levels, ophthalmologists need focus on discriminative parts fundus images. In recent years, deep learning has achieved great success medical image analysis. most works directly employ algorithms based convolutional neural networks (CNNs), ignore fact that difference among classes subtle and...
Abstract Radiomic model reliability is a central premise for its clinical translation. Presently, it assessed using test-retest or external data, which, unfortunately, often scarce in reality. Therefore, we aimed to develop novel image perturbation-based method (IPBM) the first of kind toward building reliable radiomic model. We developed prognostic head-and-neck cancer patients on training (70%) and evaluated testing (30%) cohort C-index. Subsequently, applied IPBM CT images both cohorts...