Institute of Cardiology

The Italian Society of Cardiology and Working Group on Telecardiology and Informatics 2023 updated position paper on telemedicine and artificial intelligence in cardiovascular disease

Natale Daniele Brunetti, Antonio Curcio, Savina Nodari et al.

2023 · 16 Zit.

Machine learning with convolutional neural networks for clinical cardiologists

James P. Howard, Dárrel P. Francis

2021 · 16 Zit.

ACUTE AORTIC DISSECTION AS A COMPLICATION OF ESSENTIAL HYPERTENSION – CLINICAL EVALUATION BASED ON EXPERIENCE OF ONE CLINICAL CENTER

Marek Kabat, Hanna Janaszek−Sitkowska, M. Peogoczkowska et al.

2000 · 0 Zit.

Utilization of artificial intelligence in the management of cardiovascular diseases: Promise versus reality

Sebastian E. Beyer, Paweł T Matusik, Leon M Ptaszek

2026 · 0 Zit.

Methodological rigor in AI-based angiographic analysis: A commentary on “Comparative evaluation of a convolutional neural network and interventional cardiologists in the diagnosis of significant stenosis of coronary arteries”

Artur Dziewierz

2025 · 0 Zit.

Effect of artificial intelligence on publication performance of physicians involved in medical research

Anna Mierzyńska, Zhenisgul Tlegenova, U Pidvalna et al.

2026 · 0 Zit.

Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Reply to Pagnoni et al. Toward Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Comment on “Ledziński et al. Personalized Medicine in Pulmonary Arterial Hypertension: Utilizing Artificial Intelligence for Death Prevention. J. Clin. Med. 2025, 14, 8325”

Łukasz Ledziński, Grzegorz Grześk, Michał Ziołkowski et al.

2026 · 0 Zit.

CardioAlex 2016 Conference Proceedings Posters

Samir Rafla, Mohamed Sadaka, Sahar Azab et al.

2016 · 0 Zit.