A5074662646- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Gastric Cancer Management and Outcomes
- Pancreatic and Hepatic Oncology Research
- Neuroblastoma Research and Treatments
- Advanced Neural Network Applications
- Neuroendocrine Tumor Research Advances
- Gastrointestinal Tumor Research and Treatment
- Liver Disease Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- Machine Learning and Data Classification
- Neurological and metabolic disorders
- Advanced Image Fusion Techniques
- Fire Detection and Safety Systems
- Photoacoustic and Ultrasonic Imaging
- Cardiovascular Health and Disease Prevention
- Pediatric Urology and Nephrology Studies
- Autoimmune and Inflammatory Disorders
- Lung Cancer Diagnosis and Treatment
- Imbalanced Data Classification Techniques
- Inflammatory Bowel Disease
- Cancer Research and Treatments
- MRI in cancer diagnosis
Qilu Hospital of Shandong University
2013-2025
Jimei University
2024
Tianjin University
2023
Shandong University
2022
Second Hospital of Anhui Medical University
2021
Anhui Medical University
2021
Jilin University
2015
Abstract Despite neoadjuvant/conversion chemotherapy, the prognosis of cT4a/bN+ gastric cancer is poor. Immune checkpoint inhibitors (ICIs) and antiangiogenic agents have shown activity in late-stage cancer, but their efficacy setting unclear. In this single-armed, phase II, exploratory trial (NCT03878472), we evaluate a combination ICI (camrelizumab), antiangiogenesis (apatinib), chemotherapy (S-1 ± oxaliplatin) for treatment cancer. The primary endpoints are pathological responses...
Abstract On the basis of Covid-19-induced pulmonary pathological and vascular changes, we hypothesize that anti-vascular endothelial growth factor (VEGF) drug bevacizumab might be beneficial for treating Covid-19 patients. From Feb 15 to April 5, 2020, conducted a single-arm trial (NCT04275414) recruited 26 patients from 2-centers (China Italy) with severe Covid-19, respiratory rate ≥30 times/min, oxygen saturation ≤93% ambient air, or partial arterial pressure fraction inspiration O 2 ratio...
Due to the impact of scale variation vehicle targets and changes in traffic environments large-scale monitoring systems, target detection methods often face challenges. To improve adaptability these variations, we proposed an enhanced YOLOv7 for systems (ETS-YOLOv7). mitigate effects complex environments, introduced convolutional block attention module (CBAM) into framework, which filters important features both channel spatial dimensions, thereby enhancing model’s capability recognize...
4061 Background: The prognosis of cT4a/bN+ gastric cancer (GC) is poor due to low R0 resection rate and frequent recurrence. We evaluated the feasibility, safety, efficacy a combination immunotherapy, anti-angiogenesis, chemotherapy for neoadjuvant/conversion treatment GC. Methods: Patients with T4a/bN+ GC were enrolled receive camrelizumab (200mg d1), apatinib (250mg d1-14), S-1 (50mg bid d1-10) ± oxaliplatin (85 mg/m 2 d1) at least cycles, followed by re-evaluation operation....
ABSTRACT On the basis of Covid-19-induced pulmonary pathological and vascular changes, we hypothesized that anti-VEGF drug bevacizumab might be beneficial for treating Covid-19 patients. We recruited 26 patients from 2-centers (China Italy) with confirmed severe Covid-19, respiratory rate ≥ 30 times/min, oxygen saturation ≤ 93% ambient air, or partial arterial pressure to fraction inspiration O 2 ratio (PaO /FiO ) >100mmHg 300 mmHg, diffuse pneumonia by chest radiological imaging. This...
This paper analyzes the problem of meaningless outliers in traffic detective data sets and researches characteristics about monophyletic detector multisensor based on real-time highway. Based analysis current random forests algorithm, which is a learning algorithm high accuracy fast speed, new optimum filtrating outlier sample are proposed, employ bagging strategy combined with boosting strategy. Random different number trees applied to analyze status classification sets, respectively, flow,...
The aim of this study is to evaluate the influence arm movements from adduction abduction on intracavitary electrocardiogram and position a catheter tip.Overall, 192 peripherally inserted central lines were placed under guidance 188 them enrolled in study. was first at time point corresponding peak P wave with adduction. then abducted 90° without changing insertion length. During procedure, basal electrocardiogram, radiographs recorded. Amplitude changes measured records radiographs,...
Problem: To illustrate the MRI manifestations of spontaneous intratumoral coagulative necrosis (iCN) in hepatocellular carcinoma (HCC) and its value predicting postoperative early recurrence. Methods: 263 patients with HCC confirmed by surgical pathology were enrolled. The qualitative assessments features performed. Results: iCN was characterized a similar appearance to tumor on pre-contrast but non-enhancement post-contrast MRI. Presence associated Conclusions: is recurrence might assist...
To evaluate whether radiomics models based on unenhanced paranasal sinuses CT images could be a useful tool for differentiating inverted papilloma (IP) from chronic rhinosinusitis with polyps (CRSwNP). This retrospective study recruited 240 patients CRSwNP and 106 IP three centers. 253 Qilu Hospital were randomly divided into the training set (n = 151) internal validation 102) ratio of 6:4. 93 other two centers used as external set. The unilateral disease 115) selected to further develop...
As the population ages, early diagnosis and treatment of lung diseases become increasingly important. Accurate assessment aging-related changes in CT images is crucial for prevention related diseases. Traditional methods aging from are time-consuming, subjective, heavily reliant on clinical experience doctors. To address these issues, this paper proposes a method with 3D-CA Net. The feature extraction part proposed network consists four main 3D Convolutional Composite Multidimensional...
<abstract> <p>Since the emergence of new coronaviruses and their variant virus, a large number medical resources around world have been put into treatment. In this case, purpose article is to develop handback intravenous intelligence injection robot, which reduces direct contact between staff patients risk infection. The core technology hand back intelligent robot handlet venous vessel detection segmentation position needle point decision. paper, an image processing algorithm...
Objective This study aims to synthesize a novel gadolinium loaded nanoprobe targeted vascular endothelial growth factor (VEGF) and assess its clinical value for imaging micro hepatic carcinoma.Methods A carrier was made by the biocompatible polymer material polylactic acid-polyethylene glycol-poly-L-lysinenanoparticles (PLA-PEG-PLLs).The obtained with anti-VEGF antibody (Gd) bonding surface of carrier.MRI in vitro determined T1 relaxivity nanoprobe.A live cancer model enhanced MR scan...
Abstract Objective To investigate the value of CT radiomics in differentiation mycoplasma pneumoniae pneumonia (MPP) from streptococcus (SPP) with similar manifestations children. Methods 63 children MPP (n=30) or SPP (n=33) consolidation and surrounding halo on images Qilu Hospital Children's between January 2017 July 2019 were enrolled retrospective study. Radiomic features both lesions plain extracted including part area which respectively delineated at region interest (ROI) areas maximum...