A5027618698- Artificial Intelligence in Healthcare and Education
- Medical Imaging and Analysis
- Surgical Simulation and Training
- Hip and Femur Fractures
- Spine and Intervertebral Disc Pathology
- Artificial Intelligence in Healthcare
- Advanced X-ray and CT Imaging
- COVID-19 diagnosis using AI
- Anatomy and Medical Technology
- Radiomics and Machine Learning in Medical Imaging
- Proteoglycans and glycosaminoglycans research
- Blockchain Technology Applications and Security
- Cell Adhesion Molecules Research
- Orthopedic Surgery and Rehabilitation
- Tendon Structure and Treatment
- Wireless Body Area Networks
- Spinal Fractures and Fixation Techniques
- Innovations in Medical Education
- Medical Malpractice and Liability Issues
- Global Health and Surgery
- Digital Mental Health Interventions
- Electromagnetic Fields and Biological Effects
- Peptidase Inhibition and Analysis
- Heart Rate Variability and Autonomic Control
- Nanoparticles: synthesis and applications
Union Hospital
2024-2025
Huazhong University of Science and Technology
2021-2025
Union Hospital
2021-2025
Central South University
2020-2021
Wuhan Union Hospital
2021
Second Xiangya Hospital of Central South University
2021
Objective: The aim of this study is to explore the potential mixed reality (MR) technology in visualization orthopedic surgery. Methods: system with MR widely used composed a 3D imaging workstation, cloud platform, and an space station. An intelligent segmentation algorithm adopted on workstation create anatomical model zooming rotation effects. This then exploited for efficient reconstruction data computerized tomography (CT) magnetic resonance (MRI). Additionally, can be uploaded platform...
Objective: To explore a new artificial intelligence (AI)-aided method to assist the clinical diagnosis of femoral intertrochanteric fracture (FIF), and further compare performance with human level confirm effect feasibility AI algorithm. Methods: 700 X-rays FIF were collected labeled by two senior orthopedic physicians set up database, 643 for training database 57 test database. A Faster-RCNN algorithm was applied be trained detect on X-rays. The such as accuracy, sensitivity, miss rate,...
This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed training testing the model, evaluating its performance, conducting validations explore most suitable algorithm. Clinical information, including demographic data, examination results, medical history, laboratory test collected inpatients The LASSO algorithm utilized feature selection, multiple...
To develop and assess a deep convolutional neural network (DCNN) model for the automatic detection of bone metastases from lung cancer on computed tomography (CT).In this retrospective study, CT scans acquired single institution June 2012 to May 2022 were included. In total, 126 patients assigned training cohort (n = 76), validation 12), testing 38). We trained developed DCNN based positive with negative without detect segment CT. evaluated clinical efficacy in an observer study five...
To explore an intelligent detection technology based on deep learning algorithms to assist the clinical diagnosis of distal radius fractures (DRFs), and further compare it with human performance verify feasibility this method.A total 3,240 patients (fracture: n = 1,620, normal: 1,620) were included in study, a 3,276 wrist joint anteroposterior (AP) X-ray films (1,639 fractured, 1,637 normal) 3,260 lateral (1,623 normal). We divided into training set, validation set test ratio 7:1.5:1.5. The...
Objective: Explore a new deep learning (DL) object detection algorithm for clinical auxiliary diagnosis of lumbar spondylolisthesis and compare it with doctors' evaluation to verify the effectiveness feasibility DL in spondylolisthesis. Methods: Lumbar lateral radiographs 1,596 patients from three medical institutions were collected, senior orthopedic surgeons radiologists jointly diagnosed marked them establish database. These randomly divided into training set (n = 1,117), validation 240),...
Self-generated AuNPs based on HSA can elevate the delivery efficiency of peptides vaccine, inducing photothermal transduction and thus amplify immune response.
Millimeter waves are electromagnetic with wavelengths of 1–10 mm, which have characteristics high frequency and short wavelength. They gradually widely been used in engineering medical fields. We identified studies related to millimeter the biomedical field summarized biological effects their current status applications. Finally, shortcomings existing future developments analyzed discussed, aim providing a reference for further research development field.
To explore the risk factors for femoral neck fracture in elderly population.
Ischemic stroke is caused by cerebral ischemia upon the blockage of an artery, which results in a high disability rate. Little known regarding mechanism astrocyte function ischemia. We aimed to determine effects running on transformation astrocytes, and subsequent synapse formation. A study middle artery occlusion (MCAO) after vivo showed that can promote astrocytes toward neuroprotective phenotype. Our findings oxygen-glucose deprived vitro revealed these transformed into phenotype,...
Lumbar laminectomy is commonly deemed as the most valid surgery for a series of lumbar illnesses, such disc herniation, which could lead to spinal canal stenosis. However, epidural fibrosis one common complications that limits application laminectomy, mainly caused by proliferation local fibroblasts. Laminins are glycoproteins consist α, β and γ chains, serve crucial role in biological cell behaviors, adhesion, differentiation, migration proliferation, especially isoform with fifth α...