Deep learning for cardiovascular imaging: A review

RM Wehbe, AK Katsaggelos, KJ Hammond… - JAMA …, 2023 - jamanetwork.com
Importance Artificial intelligence (AI), driven by advances in deep learning (DL), has the
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

G Krishnan, S Singh, M Pathania, S Gosavi… - Frontiers in Artificial …, 2023 - frontiersin.org
As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …

The role of artificial intelligence in echocardiography

T Barry, JM Farina, CJ Chao, C Ayoub, J Jeong… - Journal of …, 2023 - mdpi.com
Echocardiography is an integral part of the diagnosis and management of cardiovascular
disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in …

[HTML][HTML] The role of artificial intelligence and machine learning in cardiovascular imaging and diagnosis

S Reza-Soltani, LF Alam, O Debellotte, TS Monga… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Cardiovascular diseases remain the leading cause of global mortality, underscoring the
critical need for accurate and timely diagnosis. This narrative review examines the current …

PROTEUS: A Prospective RCT Evaluating Use of AI in Stress Echocardiography

R Upton, AP Akerman, TH Marwick, CL Johnson… - NEJM AI, 2024 - ai.nejm.org
Background Use of artificial intelligence (AI) in cardiovascular imaging may potentially
augment clinical decision-making in disease management, but no prospective randomized …

Vascular implications of COVID-19: role of radiological imaging, artificial intelligence, and tissue characterization: a special report

NN Khanna, M Maindarkar, A Puvvula, S Paul… - Journal of …, 2022 - mdpi.com
The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people
worldwide, with mortality exceeding six million. The average survival span is just 14 days …

We need more randomized clinical trials of AI

D Ouyang, J Hogan - NEJM AI, 2024 - ai.nejm.org
In the first prospective clinical trial of artificial intelligence (AI) assistance in stress
echocardiography, there was no difference in diagnostic accuracy between AI assistance …

Advancing cardiovascular medicine with machine learning: Progress, potential, and perspective

JP Barrios, GH Tison - Cell Reports Medicine, 2022 - cell.com
Recent advances in machine learning (ML) have made it possible to analyze high-
dimensional and complex data—such as free text, images, waveforms, videos, and sound …

Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete's heart?

S Palermi, M Vecchiato, A Saglietto… - European Journal of …, 2024 - academic.oup.com
The integration of artificial intelligence (AI) technologies is evolving in different fields of
cardiology and in particular in sports cardiology. Artificial intelligence offers significant …

[HTML][HTML] Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review

D Yim, J Khuntia, V Parameswaran… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …