Minneapolis Heart Institute Foundation

Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use

Akhil Narang, Richard Bae, Ha Hong et al.

2021 · 401 Zit.

Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions

Saurabhi Samant, Jules Joel Bakhos, Wei Wu et al.

2023 · 80 Zit.

American Heart Association Precision Medicine Platform

Taha Kass‐Hout, Laura Stevens, Jennifer L. Hall

2018 · 44 Zit.

A generalizable electrocardiogram-based artificial intelligence model for 10-year heart failure risk prediction

Liam Butler, İbrahi̇m Karabayir, Dalane W. Kitzman et al.

2023 · 22 Zit.

Exploring the Role of ChatGPT in Cardiology: A Systematic Review of the Current Literature

Aditi Sharma, Tejas Medapalli, Micaella Alexandrou et al.

2024 · 17 Zit.

Interventional Cardiologists’ Perspectives and Knowledge Towards Artificial Intelligence

Michaella Alexandrou, Athanasios Rempakos, Deniz Mutlu et al.

2024 · 6 Zit.

Analysis of FDA-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices

Partha Sardar, Elena Dudorova, Saurav Chatterjee et al.

2025 · 3 Zit.

Prognostic Value of AI-Based Quantitative Coronary CTA vs Human Reader-Based Visual Assessment

Alexander R. van Rosendael, Rine Nakanishi, Jeroen J. Bax et al.

2025 · 3 Zit.

Performance of Large Language Models on the Acute Coronary Syndrome Guidelines Using Retrieval-Augmented Generation

Michaella Alexandrou, Sant Kumar, Arun Mahtani et al.

2025 · 2 Zit.

Performance of Large Language Models on the Internal Medicine Mock Exam

Michaella Alexandrou, Arun Mahtani, Athanasios Rempakos et al.

2025 · 2 Zit.

Enhancing Productivity: How AI Chatbots Can Benefit Cardiologists

Michaella Alexandrou, Dimitrios Strepkos, Arun Mahtani et al.

2025 · 0 Zit.

B-20 | Interventional Cardiologists’ Perspectives and Knowledge Towards Artificial Intelligence

Michaella Alexandrou, Thanasis Rempakos, Deniz Mutlu et al.

2024 · 0 Zit.

Artificial intelligence in cardiology: a narrative review with focus on patient outcomes

Michaella Alexandrou, Ippokratis Konstantinidis, Jose Manuel Orenday et al.

2026 · 0 Zit.

AI exceeds clinician performance for left ventricular segmentation of cardiac MRI for predicting mortality

G Joy, Karan Punjabi, Zaid A. Abdulelah et al.

2025 · 0 Zit.