A5041170845- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
- Cardiac Imaging and Diagnostics
- Advanced Measurement and Detection Methods
- Sparse and Compressive Sensing Techniques
- Heart Failure Treatment and Management
- Brain Tumor Detection and Classification
- Cardiovascular Health and Risk Factors
- Blood Pressure and Hypertension Studies
- Image and Signal Denoising Methods
- Infrared Target Detection Methodologies
- Cardiac Valve Diseases and Treatments
- Traumatic Brain Injury and Neurovascular Disturbances
- AI in cancer detection
- Frailty in Older Adults
- Microwave Imaging and Scattering Analysis
- Cardiac Arrest and Resuscitation
- Antifungal resistance and susceptibility
- Advanced Image Fusion Techniques
- Cardiovascular Disease and Adiposity
- Image Processing Techniques and Applications
- Opportunistic and Delay-Tolerant Networks
- Vascular Tumors and Angiosarcomas
- Pressure Ulcer Prevention and Management
- Advanced MRI Techniques and Applications
Zhongda Hospital Southeast University
2022-2025
Jinan Central Hospital
2025
Singapore Institute of Technology
2025
Zhejiang Wanli University
2024
Brookdale University Hospital and Medical Center
2024
Xidian University
2023
Shenzhen Municipal People's Government
2023
The University of Texas MD Anderson Cancer Center
2019-2022
University of Potsdam
2021
Nanjing University
2021
Breast cancer is one of the most dangerous diseases and second largest cause female death. starts when malignant, cancerous lumps start to grow from breast cells. Self-tests Periodic clinical checks help early diagnosis thereby improve survival chances significantly. The classification a medical method that provides researchers scientists with great challenge. Neural networks have recently become popular tool in data classification. In this paper, Deep Learning assisted Efficient Adaboost...
Predictions of cardiovascular disease risks based on health records have long attracted broad research interests. Despite extensive efforts, the prediction accuracy has remained unsatisfactory. This raises question as to whether data insufficiency, statistical and machine-learning methods, or intrinsic noise hindered performance previous approaches, how these issues can be alleviated.Based a large population patients with hypertension in Shenzhen, China, we aimed establish high-precision...
Abstract Growing evidences have confirmed the effect of Sacubitril/Valsartan (SV) on antihypertension and cardiac protection in general population. However, there was no prospective study about safety SV resistant hypertension myocardial work hemodialysis patients. In this single‐center, prospective, before‐after study, enrolled patients were endured with for more than 6 months. Participants initially instructed to take 50 mg twice daily, dosage gradually increased up 100 daily. The primary...
Systemic treatments for angiosarcoma remains an area of unmet clinical need. The authors conducted this retrospective study to assess the activity checkpoint inhibitors in patients with angiosarcoma. primary objective was response rate, and secondary progression-free overall survival durations disease control rate.Patient data were obtained using University Texas MD Anderson Cancer Center Tumor Registry database. final population refined only include who had undergone pembrolizumab...
This article describes My Science Tutor (MyST), an intelligent tutoring system designed to improve science learning by students in 3 rd , 4 th and 5 grades (7 11 years old) through conversational dialogs with a virtual tutor. In our study, individual engage spoken the tutor Marni during 15 20 minute sessions following classroom investigations discuss extend concepts embedded investigations. The MyST are scaffold presenting open-ended questions accompanied illustrations or animations related...
The selection of road networks is very important for cartographic generalization. Traditional artificial intelligence methods have improved efficiency but cannot fully extract the spatial features networks. However, current methods, which are based on theory graphs or strokes, low automaticity and highly subjective. Graph convolutional (GCNs) combine graph with neural networks; thus, they can not only information also realize automatic selection. Therefore, in this study, we adopted GCNs...
We present a compressive sensing video acquisition scheme that relies on the sparsity properties of in spatial domain. In this scheme, sequence is represented by reference frame, followed difference measurement results between each pair neighboring frames. The signal reconstructed first reconstructing frame differences using 1 minimization algorithm, then adding them sequentially to frame. Simulation both simulated and real sequences show when changes frames are small, provides better...
An excessive inflammatory response and coagulation disorder promote the occurrence development acute respiratory distress syndrome (ARDS). The ratio of red blood cell distribution width to platelet count (RPR) is a novel predictor mortality in patients with ARDS. purpose this study was determine association between RPR all-cause This analyzed data obtained from Medical Information Mart for Intensive Care-III database. clinical endpoint 28-day mortality. Restricted cubic splines were used...
This study aimed to evaluate the application value of personalized patient protocol technology (P3T) modular cardiac injection technique combined with iterative reconstruction algorithm, sinogram-affirmed (SAFIRE) in coronary computed tomography angiography (CCTA). A retrospective analysis was performed on 40 patients who underwent CCTA at Central Hospital Affiliated Shandong First Medical University. Patients were divided into two groups: control group (n=20), which received traditional...
The rapid rise of streaming has fundamentally changed the global film industry, challenging traditional dominance and television as primary distribution channels. With background, this article explores whether media will completely replace media. It examines unique characteristics platforms, including flexibility, reach, data-driven personalization, while also highlighting cultural experiential value offered by media, such immersive social nature movies. By analyzing coexistence competition...
Cardiac valve calcification (CVC) is common in dialysis patients and associated with increased cardiovascular risk. However, early screening has been limited by cost concerns. This study aimed to develop validate a machine learning model enhance detection of CVC. Data were collected at four centers between 2020 2023, including 852 the development dataset 661 external validation dataset. Predictive factors selected using LASSO regression combined univariate multivariate analyses. Machine...
Stroke risk assessment is an important means of primary prevention, but the applicability existing stroke scales in Chinese population has always been controversial. A prospective study a common method medical research, it time-consuming and labor-intensive. Medical big data demonstrated to promote disease factor discovery prognosis, attracting broad research interest.We aimed establish high-precision prediction model for hypertensive patients based on historical electronic record machine...
Renal failure is a fatal disease raising global concerns. Previous risk models for renal mostly rely on the diagnosis of chronic kidney disease, which lacks obvious clinical symptoms and thus undiagnosed, causing significant omission high-risk patients. In this paper, we proposed framework to predict directly from big data repository population without prerequisite disease. The electronic health records 42,256 patients with hypertension or diabetes in Shenzhen Health Information Big Data...
Abstract Background Skeletal muscle mass and quality assessed by computed tomography (CT) images of the third lumbar vertebra (L3) level have been established as risk factors for poor clinical outcomes in several illnesses, but relevance dialysis patients is unclear. A few studies suggested a correlation between CT‐determined skeletal at first (L1) adverse outcomes. Generally, chest CT does not reach beyond L1. We aimed to determine whether opportunistic scan (chest CT)‐determined L1 are...
Hypertension is associated with increased morbidity and mortality in Coronary Heart Disease (CHD). However, the risk factors that cause hypertension patients develop into CHD remain unclear. This paper aims to study traditional nontraditional of population. Data were extracted from regional medical big data system Shenzhen, a city China. In this study, we included 3395 aged 30 79 years old. Among them, 1153 events occurred within 3 after they first followed-up. A logistic regression model...
Xiang Hu, Haitao Mi, Zujie Wen, Yafang Wang, Yi Su, Jing Zheng, Gerard de Melo. Proceedings of the 59th Annual Meeting Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
Whether in asymptomatic populations levels of serum sirtuin 1 (Sirt1) are associated with coronary atherosclerosis plaque characteristics remains unclear. This article aims to evaluate the possibility Sirt1 predicting high-risk plaques revealed through computed tomography angiography (CTA).The current cross-sectional investigation was performed on patients from non (HRP) group (control group) as well HRP group. CTA conducted and Framingham Risk Score (FRS) generated each patient. Serum level...
The elevated long-term cardiovascular disease (CVD) risks associated with pneumonia have been observed among inpatients, yet the outpatients are less understood.
The growing demand for low delay vehicular content has put tremendous strain on the backbone network. As a promising alternative, cooperative caching among different cache nodes can reduce access delay. However, heterogeneous have communication modes and limited capacities. In addition, high mobility of vehicles renders more complicated environment. Therefore, performing efficient becomes key issue. this paper, we propose cross-tier architecture all contents, which allows distributed to...