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 …

Artificial intelligence in cardiovascular CT and MR imaging

LRM Lanzafame, GM Bucolo, G Muscogiuri, S Sironi… - Life, 2023 - mdpi.com
The technological development of Artificial Intelligence (AI) has grown rapidly in recent
years. The applications of AI to cardiovascular imaging are various and could improve the …

[HTML][HTML] Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases

MA Muzammil, S Javid, AK Afridi, R Siddineni… - Journal of …, 2024 - Elsevier
Electrocardiography (ECG), improved by artificial intelligence (AI), has become a potential
technique for the precise diagnosis and treatment of cardiovascular disorders. The …

Cardiac Magnetic Resonance as Risk Stratification Tool in Non-Ischemic Dilated Cardiomyopathy Referred for Implantable Cardioverter Defibrillator Therapy—State …

A Argentiero, MC Carella, D Mandunzio… - Journal of Clinical …, 2023 - mdpi.com
Non-ischemic dilated cardiomyopathy (DCM) is a disease characterized by left ventricular
dilation and systolic dysfunction. Patients with DCM are at higher risk for ventricular …

Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning

MJ Sharkey, JC Taylor, S Alabed, K Dwivedi… - Frontiers in …, 2022 - frontiersin.org
Introduction Computed tomography pulmonary angiography (CTPA) is an essential test in
the work-up of suspected pulmonary vascular disease including pulmonary hypertension …

Application of a Deep Learning Approach to Analyze Large-Scale MRI Data of the Spine

F Streckenbach, G Leifert, T Beyer, A Mesanovic… - Healthcare, 2022 - mdpi.com
With its standardized MRI datasets of the entire spine, the German National Cohort (GNC)
has the potential to deliver standardized biometric reference values for intervertebral discs …

Clinical and Surgical Applications of Large Language Models: A Systematic Review

SM Pressman, S Borna, CA Gomez-Cabello… - Journal of Clinical …, 2024 - mdpi.com
Background: Large language models (LLMs) represent a recent advancement in artificial
intelligence with medical applications across various healthcare domains. The objective of …

Computed tomography and nuclear medicine for the assessment of coronary inflammation: clinical applications and perspectives

AI Guaricci, D Neglia, W Acampa… - Journal of …, 2023 - journals.lww.com
There is increasing evidence that in patients with atherosclerotic cardiovascular disease
(ASCVD) under optimal medical therapy, a persisting dysregulation of the lipid and glucose …

[HTML][HTML] Improving the efficiency and accuracy of CMR with AI–review of evidence and proposition of a roadmap to clinical translation

Q Zhang, A Fotaki, S Ghadimi, Y Wang… - Journal of …, 2024 - Elsevier
Cardiovascular magnetic resonance (CMR) is an important imaging modality for the
assessment of heart disease; however, limitations of CMR include long exam times and high …

Inteligencia artificial en la imagen cardiovascular mediante resonancia magnética

A Castellaccio, NA Arostegui, MP Jiménez, DQ Tapia… - Radiología, 2024 - Elsevier
La inteligencia artificial está en pleno desarrollo y sus posibilidades son incalculables. Sus
principales aplicaciones en la resonancia magnética cardiaca (RMC) se han focalizado en …