A5055166631- Phonocardiography and Auscultation Techniques
- Respiratory and Cough-Related Research
- Artificial Intelligence in Healthcare and Education
- Healthcare Operations and Scheduling Optimization
- COVID-19 diagnosis using AI
- Diabetes, Cardiovascular Risks, and Lipoproteins
- ECG Monitoring and Analysis
- Cardiovascular Health and Risk Factors
- Music and Audio Processing
- COVID-19 and healthcare impacts
- Emergency and Acute Care Studies
- Metabolism, Diabetes, and Cancer
- Chronic Disease Management Strategies
- Diabetes Management and Education
- Hepatitis C virus research
- Healthcare Technology and Patient Monitoring
- Data Quality and Management
- Nursing Diagnosis and Documentation
- COVID-19 Impact on Reproduction
- Chronic Obstructive Pulmonary Disease (COPD) Research
- AI in cancer detection
- Pneumonia and Respiratory Infections
- Cardiac Valve Diseases and Treatments
- SARS-CoV-2 and COVID-19 Research
- Biomedical Text Mining and Ontologies
Shanghai Jiao Tong University
2015-2025
XinHua Hospital
2021-2025
Shanghai Children's Medical Center
2015-2024
Beijing Academy of Artificial Intelligence
2021
Shanghai Hospital Development Center
2021
Tongji University
2021
Guangxi Medical University
2020
Respiratory Clinical Trials
2019
Ruijin Hospital
2012-2017
Shanghai Clinical Research Center
2011-2016
To demonstrate whether abnormal glucose metabolism (diabetes and prediabetes) is associated with increased risk for cancer in the Chinese population to identify factors that modify of among individuals metabolism.Between 2011 2012, 259 657 community-dwelling adults, aged 40 years older, were recruited from 25 centers across mainland China participant baseline survey REACTION study, follow-up investigations performed 3, 5, 10 later. Detailed questionnaires about lifestyles, physical...
Computer-assisted auscultation has become available to assist clinicians with physical examinations detect congenital heart disease (CHD). However, its accuracy and effectiveness remain be evaluated. This study seeks evaluate the of auscultations abnormal sounds an artificial intelligence-assisted (AI-AA) platform we create.Initially, 1397 patients CHD were enrolled in study. The samples their recorded uploaded using a digital stethoscope. By platform, both remote by team experienced...
Abstract Background Many studies suggest that patient satisfaction is significantly negatively correlated with the waiting time. A well-designed healthcare system should not keep patients too long for an appointment and consultation. However, in China, spend notable time waiting, actual spent on diagnosis treatment consulting room comparatively less. Methods We developed artificial intelligence (AI)-assisted module name it XIAO YI. It could help outpatients automatically order imaging...
It has proved that the auscultation of respiratory sound advantage in early diagnosis. Various methods have been raised to perform automatic analysis reduce subjective diagnosis and physicians' workload. However, these highly rely on quality database. In this work, we developed first open-access paediatric database, SPRSound. The database consists 2,683 records 9,089 events from 292 participants. Accurate label is important achieve a good prediction for adventitious classification problem. A...
Leukemia classification relies on a detailed cytomorphological examination of Bone Marrow (BM) smear. However, applying existing deep-learning methods to it is facing two significant limitations. Firstly, these require large-scale datasets with expert annotations at the cell level for good results and typically suffer from poor generalization. Secondly, they simply treat BM as multi-class task, thus failing exploit correlation among leukemia subtypes over different hierarchies. Therefore,...
Objective. Auscultation of lung sound plays an important role in the early diagnosis diseases. This work aims to develop automated adventitious detection method reduce workload physicians.Approach. We propose a deep learning architecture, LungAttn, which incorporates augmented attention convolution into ResNet block improve classification accuracy sound. adopt feature extraction based on dual tunableQ-factor wavelet transform and triple short-time Fourier obtain multi-channel spectrogram....
Leukemia is the most common malignancy affecting children. The morphologic analysis of bone marrow smears an important initial step for diagnosis. Recent publications demonstrated that artificial intelligence able to classify blood cells but a long way from clinical use. A total 1,732 images were used training convolutional neural network (CNN). New techniques deep learning integrated and end-to-end leukemia diagnosis system was developed by using raw without pre-processing. creatively...
A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the effect and cessation on glycemic control in patients The aim this study was to evaluate associations diabetic patients.The present a cross-sectional 10 551 men 15 297 women diabetes from Risk Evaluation cAncers Chinese diabeTic Individuals: lONgitudinal (REACTION) study. factors for association were evaluated using logistic regression models....
To examine the association between depression and impaired glucose regulation, newly diagnosed diabetes previously in middle-aged elderly Chinese people, whether was associated with different treatment regimens or durations of diabetes.A cross-sectional study performed among 229,047 adults living community aged ≥ 40 years from 25 centres China. The self-reported rating scale Patient Health Questionnaire 9 (PHQ-9) used to diagnose probable sub-threshold depression. Glucose metabolism status...
Abstract Aims Few studies have analysed the effect of sleep duration and snoring on hypertension glycaemic control in patients with diabetes. This study aims to investigate relationship prevalent people Methods In baseline survey REACTION study, 56 032 diabetes were categorized into four groups according self‐reported duration: < 6, 6–7.9, 8–8.9 ≥ 9 h. Snoring frequency was evaluated as ‘usually’, ‘occasionally’ or ‘never’. Hypertension assessed by systolic blood pressure, diastolic...
Chronic kidney disease (CKD) increases cardiovascular (CVD) risk. However, the association of mildly reduced function with CVD risk is unclear.This study investigated estimated glomerular filtration rate (eGFR) prevalent CVDs, 10-year Framingham for coronary heart (CHD), and atherosclerotic diseases (ASCVD) in 239 832 participants from baseline Risk Evaluation cAncers Chinese diabeTic Individuals: a lONgitudinal study. With an interviewer-assisted questionnaire, we collected information on...
Objective: Lung auscultation plays an important role in the diagnosis of pulmonary diseases children. The objective this study was to evaluate use artificial intelligence (AI) algorithm for detection breath sounds a real clinical environment among children with diseases. Method: auscultations were collected respiratory department Shanghai Children's Medical Center (SCMC) by using electronic stethoscope. discrimination results all chest locations respect gold standard (GS) established 2...
Standard echocardiographic view recognition is a prerequisite for automatic diagnosis of congenital heart defects (CHDs). This study aims to evaluate the feasibility and accuracy standard in CHDs children using convolutional neural networks (CNNs). A new deep learning-based network method was proposed automatically efficiently identify commonly used views. total 367,571 image slices from 3,772 subjects were train validate model where 23 views diagnose identified. The F1 scores majority all...
Pairs of spouses share common lifestyle factors. In a cross-sectional analysis, we investigated whether diabetic individuals had higher prevalence diabetes and cardiometabolic disorders in community-based population Chinese adults aged 40 years or older between 2011 2012. A total 34,805 pairs were identified. All participants underwent standard oral glucose tolerance test provided detailed clinical, sociodemographic, information. Diabetes multiple defined according to criteria. Compared with...
Complicated outpatient procedures are associated with excessive paperwork and long waiting times. We aimed to shorten queuing times improve visiting satisfaction. developed an artificial intelligence (AI)-assisted program named Smart-doctor. A randomized controlled trial was conducted at Shanghai Children's Medical Center. Participants were randomly divided into AI-assisted conventional group. Smart-doctor used as a medical assistant in the At end of visit, e-medical satisfaction...
It is important to continuously monitor our respiratory system prevent us from suffering respiratory-releated diseases. This demands for an automatic sounds software speed up diagnosis and reduce the workload of physicians. In IEEE BioCAS 2022 conference, we have organized first grand challenge on sound classification using paediatric (SPRSound). event has invited 45 teams with more than 100 open source entries top 5 are present their works in 2022.
Secundum atrial septal defect (ASD) is one of the most common congenital heart diseases (CHDs). This study aims to evaluate feasibility and accuracy automatic detection ASD in children based on color Doppler echocardiographic images using convolutional neural networks. In this study, we propose a fully system for ASD, which includes three stages. The first stage used identify four target views (that is, subcostal view focusing atrium septum, apical four-chamber view, low parasternal...
Adherence to asthma treatment among children is usually poor. We sought explore whether electronic adherence monitoring combined with weekly feedback regarding along a reminder use inhaled corticosteroids (ICS) would lead improved compliance ICS in infants and younger asthma.96 recruited (aged 6 months 3 years) mild or moderate persistent who were on regular randomly allocated receive instant messaging software (IMS)-based keep taking the (intervention group) only (control group).The mean...
The purpose of this article was to establish and validate clinically applicable septic shock early warning model (SSEW model) that can identify in hospitalized children with onco-hematological malignancies accompanied fever or neutropenia.
Increased carotid artery intima media thickness (C-IMT) is an early feature of atherosclerosis. It has been reported to be altered in patients with thyroid dysfunction, and the evidence still controversial. The present study aimed explore relationship between C-IMT possible variations function Chinese adults aged 40 years above.A community-based cross-sectional was conducted among 2276 non-diabetic participants. Serum free triiodothyronine (FT3), thyroxine (FT4), stimulating hormone (TSH)...