A5011642893- Artificial Intelligence in Healthcare and Education
- Surgical Simulation and Training
- Anatomy and Medical Technology
- Medical Imaging and Analysis
- Augmented Reality Applications
- Radiomics and Machine Learning in Medical Imaging
- Uterine Myomas and Treatments
- Ultrasound Imaging and Elastography
- Spine and Intervertebral Disc Pathology
- COVID-19 and healthcare impacts
- Blockchain Technology Applications and Security
- Gynecological conditions and treatments
- Bone fractures and treatments
- Advanced Measurement and Metrology Techniques
- Global Health and Surgery
- Musculoskeletal Disorders and Rehabilitation
- Periodontal Regeneration and Treatments
- Hip and Femur Fractures
- Digital Mental Health Interventions
- Medical Imaging Techniques and Applications
- Optical Systems and Laser Technology
- Tendon Structure and Treatment
- Electromagnetic Fields and Biological Effects
- Wireless Body Area Networks
- Hernia repair and management
Huazhong University of Science and Technology
2017-2024
Union Hospital
2017-2024
China West Normal University
2023
Wuhan Union Hospital
2020-2022
Union Hospital
2020-2021
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...
Abstract We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior confirm effectiveness feasibility intelligence method. In this retrospective study, we collected total 3870 ultrasound images from 667 patients mean age 42.45 years ± 6.23 [SD] for those who received pathologically confirmed diagnosis 570 women 39.24 5.32 without lesions Shunde Hospital Southern...
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),...
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.
Background The COVID-19 outbreak has now become a pandemic and had serious adverse impact on global public health. effect of the lungs can be determined through 2D computed tomography (CT) imaging, which requires high level spatial imagination part medical provider. Objective purpose this study is to determine whether viewing 3D hologram with mixed reality techniques improve professionals’ understanding pulmonary lesions caused by COVID-19. Methods involved 60 participants, including 20...
Background: The Pfannenstiel approach, which provides good surgical exposure, has been used for the treatment of pubic symphysis diastasis and parasymphyseal fractures. However, it requires a medium-length incision moderate soft-tissue dissection, resulting in potential damage to anatomical structures inferior aesthetic outcomes. Here, we introduce new concealed-incision extrapelvic approach internal fixation Methods: We retrospectively reviewed records 8 patients with fractures that had...
Abstract This research displayed the differences of formation process, morphology, degradation, and release behaviors between PCL PCL‐mPEG microspheres. Lysozyme loaded microspheres were prepared by double emulsion evaporation method, droplets transformation process was observed compared under microscope. Microspheres in vitro degradation evaluated scanning electron microscope, gel permeation chromatography, bicinchoninic acid protein assay kit. got a rough surface outer water phase...
Background: The demand for telesurgery is rapidly increasing. Augmented reality (AR) remote surgery a promising alternative, fulfilling worldwide need in fracture surgery. However, previous AR endoscopic and Google Glass remotes remain unsuitable surgery, the application of has not been reported. authors aimed to evaluate safety clinical effectiveness new Materials methods: This retrospective non-inferiority cohort study was conducted at three centres. Between 1 January 2018 31 March 2022,...
Heterodyne dual-frequency laser interference displacement measurement has been widely applied in the precision mechanical systems. A signal modulation circuit with four-phase quadrant-square wave output was proposed to improve sensitivity of detection differential system. front-end photoelectric conversion circuit, mixing waveform and fourway quadrantal square shaping are designed manufactured. testing platform built laboratory test finished. The speed system reach 3<i>m/s</i>, frequency...
Objective: The high rates of missed diagnosis and misdiagnosis limit the femoral neck fracture (FNF), which require a new method to assist doctors get more accurate FNF. This study aimed estimate ability AI in detection FNF further compare its performance with human level. And AI-aided level was also explored confirm value as an assistant for clinical detect FNF.Materials Methods: 4,477 hip X-rays (consisted 2,884 1,593 normal X-rays) from 8 Chinese top tree hospitals (Union Hospital, Tongji...
The photoacoustic sensor system based on Sagnac interference has extensive applications in perimeter security. Among them, the demand for synchronization recognition of multiple acoustic sources and integrated utilization becomes key to expand its application field. By focusing multi-source recognition, a lightweight optical-acoustic signal algorithm that can be carried by an embedded was studied. collected signals were extracted through preprocessing, Fast Fourier Transform (FFT), Mel...
<sec> <title>BACKGROUND</title> The COVID-19 outbreak has now become a pandemic and had serious adverse impact on global public health. effect of the lungs can be determined through 2D computed tomography (CT) imaging, which requires high level spatial imagination part medical provider. </sec> <title>OBJECTIVE</title> purpose this study is to determine whether viewing 3D hologram with mixed reality techniques improve professionals’ understanding pulmonary lesions caused by COVID-19....
<sec> <title>UNSTRUCTURED</title> Letters to Editor: Guy Martin did a very innovative work, using HoloLens2 Mixed Reality for auro Health Care Workers During the COVID-19 Pandemic[1]. This study can effectively reduce exposure in time harm staff looking after patients, and an reduction amount of PPE used. However, there are several questions this paper that need be consulted by author. First, how does author achieve real-time image unification between mixed reality guide end remote end....