Goto Shinichi

准教授
学位：博士（医学）

基本情報

所属

Undergraduate School of Medicine / Faculty of Medicine

詳細情報

研究分野

Informatics Computational science
Life sciences Cardiology

受賞

Circulation Outstanding reviewer
Circulation Outstanding reviewer
論文賞 Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection
Circulation Outstanding reviewer
Brigham and Women's Hospital Alan Lerner Research Symposium Best Poster Award
Thrombosis and Haemostasis Top 10 Reviewer
Circulation Outstanding reviewer
ESCHM-ISCH-ISB Rising star Award
Circulation Outstanding reviewer

論文

Optimizing single-lead ECG axis for AI-based detection of myocardial diseases.

Application of a machine learning technique for image-based profiling of circulating platelets.

Experimental pulmonary arterial hypertension in mice with a pathogenic SOX17 variant.

Physical basis of platelet glycoprotein Ibα binding with von Willebrand factor and with coagulant factor XI on their biological functions.

Prediction of Functional Outcomes at Discharge Using Plasma Concentration of von Willebrand Factor Antigen at Admission in Hospitalized Patients with COVID-19.

Convolutional Neural Network Models Leverage Morphological Rather Than Temporal Features to Detect Myocardial Diseases From 12-Lead Electrocardiograms

Pragmatic Approaches to the Evaluation and Monitoring of Artificial Intelligence in Health Care: A Science Advisory From the American Heart Association.

Antithrombotic Therapy in People with Hemophilia—A Narrative Review

Interleukin-7 Receptor Activation in Interstitial Macrophages Promotes Lung Fibrosis through Spp1.

International Validation of Echocardiographic Artificial Intelligence Amyloid Detection Algorithm

PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation: An Updated Checklist.

Physical and Mechanobiological Basis of Biological Functions of Platelets

Platelet-derived RNAs: a new regulatory marker for vascular inflammation?

Regional Heterogeneity in the Risk of Thrombosis and Bleeding in Patients With Peripheral Artery Disease.

Deep Learning Applications in 12-lead Electrocardiogram and Echocardiogram.

Clonal Hematopoiesis in Chronic Thromboembolic Pulmonary Hypertension.

Chronic Thromboembolic Pulmonary Hypertension as RNF213-Associated Vascular Disease.

Sternotomy or thoracotomy for neonatal repair of coarctation of the aorta with aortic arch hypoplasia.

Extensive LDL-cholesterol lowering by PCSK9 inhibitor on the risk of venous thrombosis.

Routine Electrocardiogram Screening and Cardiovascular Disease Events in Adults.

講演・口頭発表等

Application of Artificial Intelligence to Clinical Trials.
AI による多次元データ解析ー循環器疾患への応用ー.
AI によるデジタルツインの構築.
がん治療関連心機能障害の予測-AI による多次元データ解析-.
薬効モニタリングの多次元情報解析.
脈管領域での人工知能活用:利点とピットフォール.
Detection of cardiac amyloidosis from echocardiograms
Decentralized training of artificial intelligence model ー Federated learning ー.
人工知能を用いた循環器希少疾患の検出.
臨床データから見る心臓の微小循環 ―AI による新たな循環器評価手法―.
医学領域における AI：多次元臨床データの多面的活用と未来の方向性.
AI の可能性：Transforming medicine with AI.
AI を用いた心疾患早期検出への挑戦.
医学領域における AI 活用の未来.
AI-ECG を活用した希少疾患のスクリーニング.
Utilization of Multi-Institutional Data to Enhance Machine Learning in Medicine: - Challenges and Solutions -.
循環器臨床における人工知能の考え方 ―期待と限界―.
A Multinational Federated Learning Approach to Train Electrocardiogram and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection.
One Brave Idea- Redefining Coronary Heart Disease at the Edge of Wellness.
Application of artificial intelligence to heart failure: AI to expand the utility of clinical data.