Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video.

Journal: Journal of atherosclerosis and thrombosis

Published Date: Aug 1, 2021

Abstract

AIM: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologists. Whether artificial intelligence (AI) could detect coronary stenosis from CAG video is unclear.

Authors

Hiroto Yabushita

Department of Medicine (Cardiology), Tokai University School of Medicine.
Shinichi Goto

Division of General Internal Medicine & Family Medicine, Department of General and Acute Medicine, Tokai University School of Medicine, Isehara, Japan.
Sunao Nakamura

Department of Cardiology, New-Tokyo Hospital.
Hideki Oka

Department of Medicine (Cardiology), Tokai University School of Medicine.
Masamitsu Nakayama

Department of Medicine (Cardiology), Tokai University School of Medicine.
Shinya Goto

Department of Medicine (Cardiology), Tokai University School of Medicine, Isehara, Japan.

Keywords

Adolescent Adult Aged Aged, 80 and over Artificial Intelligence Atherosclerosis Constriction, Pathologic Coronary Angiography Coronary Stenosis Follow-Up Studies Humans Middle Aged Neural Networks, Computer Prognosis Retrospective Studies Video Recording Young Adult

External Resources

View on PubMed Access via DOI PubMed (33012741)

Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video.

Abstract

Authors

Keywords

External Resources

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