A5056225926- ECG Monitoring and Analysis
- Blood Pressure and Hypertension Studies
- Cardiac Structural Anomalies and Repair
- Phonocardiography and Auscultation Techniques
- Cardiac Arrhythmias and Treatments
- Cardiac Valve Diseases and Treatments
- Heart Failure Treatment and Management
- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- Nutrition and Health in Aging
- Diabetes Treatment and Management
- Sepsis Diagnosis and Treatment
- Pulmonary Hypertension Research and Treatments
- Vascular Malformations and Hemangiomas
- Coronary Artery Anomalies
- Cardiac Arrest and Resuscitation
- Dialysis and Renal Disease Management
- Diabetes Management and Research
- Takotsubo Cardiomyopathy and Associated Phenomena
- Heart Rate Variability and Autonomic Control
- Viral Infections and Immunology Research
- Sodium Intake and Health
- Renal and Vascular Pathologies
- Atrial Fibrillation Management and Outcomes
- Peripheral Neuropathies and Disorders
The University of Tokyo
2023-2025
Mitsui Memorial Hospital
2021-2024
University of Tokyo Hospital
2024
<title>Abstract</title> We previously showed that heart failure (HF) induces innate immune memory in hematopoietic stem/progenitor cells (HSPCs), which crucially contributes to HF recurrence and impaired stress responses multiple organs. While bone marrow (BM) niches maintain homeostasis, their role remains poorly understood, despite critical function long-term HSPC regulation. Here, we demonstrate BM Lepr+ mesenchymal stromal (MSCs) influence HSPCs promote cardiac pathology HF....
Left heart abnormalities are risk factors for failure. However, echocardiography is not always available. Electrocardiograms (ECGs), which now available from wearable devices, have the potential to detect these abnormalities. Nevertheless, whether a model can left single Lead I ECG data remains unclear.
Abstract Aims The black box nature of artificial intelligence (AI) hinders the development interpretable AI models that are applicable in clinical practice. We aimed to develop an model for classifying patients reduced left ventricular ejection fraction (LVEF) from 12-lead electrocardiograms (ECG) with decision-interpretability. Methods and results acquired paired ECG echocardiography datasets central co-operative institutions. For institution dataset, a random forest was trained identify...
Heart failure should be diagnosed as early possible. Although deep learning models can predict one or more echocardiographic findings from electrocardiograms (ECGs), such analyses are not comprehensive. This study aimed to develop a model for comprehensive prediction of ECGs. We obtained 229,439 paired ECG and echocardiography data sets 8 centers. Six centers contributed development 2 external validation. identified 12 related left-sided cardiac abnormalities, valvular heart diseases,...
We herein report a case of acute myocarditis possibly related to the second dose an mRNA-coronavirus disease 2019 vaccine in 45-year-old woman with no remarkable medical history. She had fever for one week following mRNA-1273 severe respiratory syndrome coronavirus 2 vaccine. One later, she presented chest pain and electrocardiogram changes. Her serum troponin levels were elevated upon admission. Echocardiography showed segmental wall motion abnormalities apex, apical portion anterior...
Objective Whether or not the initial dip in glomerular filtration rate (GFR) after initiation of sodium-glucose co-transporter 2 inhibitors (SGLT2is) is associated with renal tubular injury patients heart failure a reduced ejection fraction (HFrEF) unclear. We therefore investigated relationship between changes estimated GFR (eGFR) and urine N-acetyl-β-D-glucosaminidase (uNAG) dapagliflozin HFrEF. Methods prospectively 89 HFrEF who were newly started on 10 mg/day. Changes eGFR...
The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed apply self-supervised learning using masked autoencoders (MAEs) improve performance 12-lead electrocardiography (ECG) analysis model limited ECG data. pretrained Vision Transformer (ViT) models by reconstructing data with MAE. fine-tuned this MAE-based on ECG-echocardiography from University Tokyo Hospital (UTokyo) for detection left ventricular systolic...
Delayed diagnosis of pulmonary hypertension (PH) is a known cause poor patient prognosis. We aimed to develop an artificial intelligence (AI) model, using ensemble learning method detect PH electrocardiography (ECG), chest X-ray (CXR), and brain natriuretic peptide (BNP), facilitating accurate detection prompting further examinations. developed convolutional neural network model ECG data predict PH, labelled by from seven institutions. Logistic regression was used for the BNP prediction...
Necrobiotic xanthogranuloma (NXG) is a non-Langerhans cell histiocytosis and multisystem disorder. Low level of HDL cholesterol associated with systemic inflammatory profile, which may result from the interaction monoclonal immunoglobulin lipoproteins, characteristic feature. There no evidence NXG-associated large-vessel vasculitis, nor are there any established treatments, although chemotherapy for comorbid multiple myeloma most often administered.We describe case 53-year-old male first...