Rima Arnaout

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

2020 · 531 Zit. · Nature Medicine

Machine Learning and the Future of Cardiovascular Care

2021 · 316 Zit. · Journal of the American College of Cardiology

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

2020 · 205 Zit. · JACC. Cardiovascular imaging

Best practices for authors of healthcare-related artificial intelligence manuscripts

2020 · 46 Zit. · npj Digital Medicine

Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging

2023 · 28 Zit. · JACC. Cardiovascular imaging

Domain-guided data augmentation for deep learning on medical imaging

2023 · 27 Zit. · PLoS ONE

ENRICHing medical imaging training sets enables more efficient machine learning

2023 · 17 Zit. · Journal of the American Medical Informatics Association

The MI-CLAIM-GEN checklist for generative artificial intelligence in health

2025 · 12 Zit. · Nature Medicine

The (Heart and) Soul of a Human Creation: Designing Echocardiography for the Big Data Age

2023 · 10 Zit. · Journal of the American Society of Echocardiography

ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram?

2023 · 5 Zit. · Journal of the American Society of Echocardiography

Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care

2023 · 3 Zit. · SSRN Electronic Journal

Deep learning model for prenatal congenital heart disease (CHD) screening generalizes to the community setting and outperforms clinical detection

2023 · 2 Zit.

Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports

2025 · 2 Zit. · Scientific Reports

Adapting vision–language AI models to cardiology tasks

2024 · 2 Zit. · Nature Medicine

From Bytes to Beats: Overcoming Conceptual and Implementation Challenges for AI in Cardiovascular Care

2025 · 1 Zit. · Circulation