Artificial intelligence for the diagnosis of heart failure
Abstract The diagnosis of heart failure can be difficult, even for heart failure specialists. Artificial Intelligence-Clinical Decision Support System (AI-CDSS) has the potential to assist physicians in heart failure diagnosis. The aim of this work was to evaluate the diagnostic accuracy of an AI-CD...
Main Authors: | Dong-Ju Choi, Jin Joo Park, Taqdir Ali, Sungyoung Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-04-01
|
Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-020-0261-3 |
Similar Items
-
Current status of heart failure: global and Korea
by: Jin Joo Park, et al.
Published: (2020-05-01) -
Artificial intelligence algorithm for predicting mortality of patients with acute heart failure.
by: Joon-Myoung Kwon, et al.
Published: (2019-01-01) -
Epidemiology, Pathophysiology, Diagnosis and Treatment of Heart Failure in Diabetes
by: Jin Joo Park
Published: (2021-09-01) -
Epidemiology, Pathophysiology, Diagnosis and Treatment of Heart Failure in Diabetes
by: Jin Joo Park
Published: (2021-03-01) -
Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure
by: Patrik Bachtiger, et al.
Published: (2020-05-01)