| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection
|
Liu, Wei-Ting
|
|
|
38 |
2 |
p. 160-168
|
artikel
|
| 2 |
A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome
|
Liu, Chih-Min
|
|
|
38 |
2 |
p. 152-159
|
artikel
|
| 3 |
A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology
|
Manlhiot, Cedric
|
|
|
38 |
2 |
p. 169-184
|
artikel
|
| 4 |
Artificial Intelligence in Cardiovascular Imaging: “Unexplainable” Legal and Ethical Challenges?
|
Lang, Michael
|
|
|
38 |
2 |
p. 225-233
|
artikel
|
| 5 |
Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine
|
Krittanawong, Chayakrit
|
|
|
38 |
2 |
p. 185-195
|
artikel
|
| 6 |
Beyond Wellness Monitoring: Continuous Multiparameter Remote Automated Monitoring of Patients
|
McGillion, Michael H.
|
|
|
38 |
2 |
p. 267-278
|
artikel
|
| 7 |
Digital Health: The Promise and Peril
|
Superina, Stefan
|
|
|
38 |
2 |
p. 145-148
|
artikel
|
| 8 |
Digital Technologies: Revolutionizing Cardiovascular Medicine and Reshaping the World
|
Nattel, Stanley
|
|
|
38 |
2 |
p. 142-144
|
artikel
|
| 9 |
Digital Technology Application for Improved Responses to Health Care Challenges: Lessons Learned From COVID-19
|
Brahmbhatt, Darshan H.
|
|
|
38 |
2 |
p. 279-291
|
artikel
|
| 10 |
Editorial Board
|
|
|
|
38 |
2 |
p. A1-A2
|
artikel
|
| 11 |
From a Polish 3-Year-Old Boy Who Visited Maastricht to Automatic Detection Using Deep Learning: Brugada Syndrome Is Being Revolutionised
|
Bleijendaal, Hidde
|
|
|
38 |
2 |
p. 149-151
|
artikel
|
| 12 |
Generative Adversarial Networks in Cardiology
|
Skandarani, Youssef
|
|
|
38 |
2 |
p. 196-203
|
artikel
|
| 13 |
Health Technology Assessment for Cardiovascular Digital Health Technologies and Artificial Intelligence: Why Is It Different?
|
Vervoort, Dominique
|
|
|
38 |
2 |
p. 259-266
|
artikel
|
| 14 |
Information for Readers
|
|
|
|
38 |
2 |
p. A5
|
artikel
|
| 15 |
Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology
|
Petch, Jeremy
|
|
|
38 |
2 |
p. 204-213
|
artikel
|
| 16 |
President's Page
|
|
|
|
38 |
2 |
p. 139-141
|
artikel
|
| 17 |
Table of Contents
|
|
|
|
38 |
2 |
p. A3-A4
|
artikel
|
| 18 |
The Evolving Role of Artificial Intelligence in Cardiac Image Analysis
|
Lauzier, Pascal Theriault
|
|
|
38 |
2 |
p. 214-224
|
artikel
|
| 19 |
The Role of Artificial Intelligence and Machine Learning in Clinical Cardiac Electrophysiology
|
Ng, Ben
|
|
|
38 |
2 |
p. 246-258
|
artikel
|
| 20 |
The Role of Machine Learning in Cardiovascular Pathology
|
Glass, Carolyn
|
|
|
38 |
2 |
p. 234-245
|
artikel
|
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