後藤信一

ゴトウシンイチ

Circulation誌 Outstanding reviewer
Circulation誌 Outstanding reviewer
公益財団法人健康加齡医学振興財団井村臨床研究奨励賞
福田記念医療技術振興財団論文賞
Circulation誌 Outstanding reviewer
Brigham and Women's Hospital Alan Lerner Research Symposium Best Poster Award
Thrombosis and Haemostasis誌 Top 10 Reviewer
Circulation誌 Outstanding reviewer
ESCHM-ISCH-ISB Rising star Award
Circulation誌 Outstanding reviewer
日本循環器学会 YIA Artificial Intelligence with Recurrent Neural Network to Predict the Need for Urgent Coronary Revascularization from 12-Leads Electrocardiography in Patients with Chest Discomfort.
日本微小循環学会 Young investigator award Grand prize Protective roles played by heme oxygenase-2 against transhemispheric diaschisis.
日本循環器学会 BCVR, Best poster award Influence of thrombin on the structure of platelet glycoprotein Ibα binding to von Willebrand factor.
ESC Travel Award The dominant parameters to determine the growth of arterial thrombi at site of endothelial injuries.
日本バイオレオロジー学会学術奨励賞 Constructive logic to understand the mechanism of thrombosis using computer simulation.
Microcirculatory society Best Poster Award Deletion of heme oxygenase-2 increases baseline microvascular flow in the murine cerebral cortex. Microcirculation.

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.