| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Advancing Cardiovascular Disease Prediction Machine Learning Models With Psychological Factors
|
Krive, Jacob
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 2 |
AI and Heart Failure
|
Cheema, Baljash
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 3 |
AI in Cardiology: Improving Outcomes for All
|
Ahmad, Faraz S.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 4 |
An Artificial Intelligence Algorithm for Detection of Severe Aortic Stenosis
|
Strom, Jordan B.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 5 |
Artificial Intelligence and Health Equity
|
Deo, Rahul C.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 6 |
Artificial Intelligence Electrocardiogram-Derived Heart Age Predicts Long-Term Mortality After Transcatheter Aortic Valve Replacement
|
Saleh, Ghasaq
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 7 |
Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes
|
Naser, Jwan A.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 8 |
Artificial Intelligence Prediction of Cardiovascular Events Using Opportunistic Epicardial Adipose Tissue Assessments From Computed Tomography Calcium Score
|
Hu, Tao
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 9 |
Association Between Social Isolation With Age-Gap Determined by Artificial Intelligence-Enabled Electrocardiography
|
Rajai, Nazanin
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 10 |
Automated Assessment of Right Atrial Pressure From Ultrasound Videos Using Machine Learning
|
Yurk, Dominic
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 11 |
Can AI Find the Needle in a Haystack?
|
Poterucha, Timothy J.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 12 |
Coronary Artery Stenosis and High-Risk Plaque Assessed With an Unsupervised Fully Automated Deep Learning Technique
|
Ihdayhid, Abdul Rahman
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 13 |
Digital Twin in Managing Hypertension Among People With Type 2 Diabetes
|
Shamanna, Paramesh
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 14 |
Echocardiogram Vector Embeddings Via R3D Transformer for the Advancement of Automated Echocardiography
|
Chung, Daniel J.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 15 |
Editorial Board
|
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 16 |
Electrocardiographic Risk Stratification in Critically Ill Cardiac Patients
|
Wu, Katherine C.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 17 |
Ensemble Modeling of Multimodal Electrocardiogram and Echocardiogram Data Improves Quantitative Assessment of Right Ventricular Function
|
Duong, Son Q.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 18 |
Evaluation of AI-Assisted Stethoscope for Cardiac Time Intervals in Pediatric Patients
|
Fredman, Eli S.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 19 |
Evolution or Revolution?
|
Branch, Kelley R.H.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 20 |
Exploring the Social Contributors to Biological Aging With Medical AI
|
Poterucha, Timothy J.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 21 |
Familial Hypercholesterolemia Detection Through Machine Learning Algorithms
|
Reeskamp, Laurens F.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 22 |
Full Issue PDF
|
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 23 |
Impact of Case and Control Selection on Training Artificial Intelligence Screening of Cardiac Amyloidosis
|
Vrudhula, Amey
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 24 |
Implications of Diagnosis Through a Machine Learning Algorithm on Management of People With Familial Hypercholesterolemia
|
Kim, Kain
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 25 |
Improving Cardiovascular Disease Prediction With Machine Learning Using Mental Health Data
|
Dorraki, Mohsen
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 26 |
Machine-Learning for Phenotyping and Prognostication of Myocardial Infarction and Injury in Suspected Acute Coronary Syndrome
|
Khan, Ehsan
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 27 |
Machine Learning Prediction for Prognosis of Patients With Aortic Stenosis
|
Shimoni, Sara
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 28 |
Machines Running for Phenotyping of Myocardial Injury
|
Neumann, Johannes T.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 29 |
Mortality Risk Stratification Utilizing Artificial Intelligence Electrocardiogram for Hyperkalemia in Cardiac Intensive Care Unit Patients
|
Harmon, David M.
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 30 |
Navigating the Gray Zone
|
Sarraju, Ashish
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 31 |
Prospective Human Validation of Artificial Intelligence Interventions in Cardiology
|
Moosavi, Amirhossein
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 32 |
QuLF-CT
|
Modanwal, Gourav
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 33 |
Revolutionizing Hypertension Management in Type 2 Diabetes
|
Tibrewala, Anjan
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 34 |
Toward a Holistic Approach in Aortic Stenosis Using Machine-Learning Algorithms
|
Sannino, Anna
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 35 |
Trends in Glucagon-Like Peptide-1 Receptor Agonist Social Media Posts Using Artificial Intelligence
|
Javaid, Aamir
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 36 |
Venture Capital's Role in Driving Innovation in Cardiovascular Digital Health
|
Sardar, Partha
|
|
|
3 |
9P2 |
p.
|
artikel
|
| 37 |
Will Artificial Intelligence Be “Better” Than Humans in the Management of Syncope?
|
Dipaola, Franca
|
|
|
3 |
9P2 |
p.
|
artikel
|
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