[HTML][HTML] Fairness of artificial intelligence in healthcare: review and recommendations

D Ueda, T Kakinuma, S Fujita, K Kamagata… - Japanese Journal of …, 2024 - Springer
In this review, we address the issue of fairness in the clinical integration of artificial
intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a …

[HTML][HTML] Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation …

D Ueda, T Matsumoto, S Ehara, A Yamamoto… - The Lancet Digital …, 2023 - thelancet.com
Background Chest radiography is a common and widely available examination. Although
cardiovascular structures—such as cardiac shadows and vessels—are visible on chest …

Novel artificial intelligence applications in cardiology: current landscape, limitations, and the road to real-world applications

ÉL Langlais, P Thériault-Lauzier… - Journal of …, 2023 - Springer
Cardiovascular diseases are the leading cause of death globally and contribute significantly
to the cost of healthcare. Artificial intelligence (AI) is poised to reshape cardiology. Using …

Severe aortic stenosis detection by deep learning applied to echocardiography

G Holste, EK Oikonomou, BJ Mortazavi… - European Heart …, 2023 - academic.oup.com
Abstract Background and Aims Early diagnosis of aortic stenosis (AS) is critical to prevent
morbidity and mortality but requires skilled examination with Doppler imaging. This study …

[HTML][HTML] Aortic stenosis: new insights in diagnosis, treatment, and prevention

S Ito, JK Oh - Korean Circulation Journal, 2022 - ncbi.nlm.nih.gov
Aortic stenosis (AS) is one of the most common valvular heart diseases and the number of
patients with AS is expected to increase globally as the older population is growing fast …

Automated severe aortic stenosis detection on single-view echocardiography: A multi-center deep learning study

G Holste, EK Oikonomou, BJ Mortazavi, A Coppi… - medRxiv, 2022 - medrxiv.org
ABSTRACT Background and Aims Early diagnosis of aortic stenosis (AS) is critical to
prevent morbidity and mortality but requires skilled examination with Doppler imaging. This …

[HTML][HTML] Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography

JM Farina, M Pereyra, AK Mahmoud, IG Scalia… - Journal of …, 2023 - mdpi.com
Chest radiography (CXR) is the most frequently performed radiological test worldwide
because of its wide availability, non-invasive nature, and low cost. The ability of CXR to …

Correlation between artificial intelligence-enabled electrocardiogram and echocardiographic features in aortic stenosis

S Ito, M Cohen-Shelly, ZI Attia, E Lee… - … Heart Journal-Digital …, 2023 - academic.oup.com
Aims An artificial intelligence-enabled electrocardiogram (AI-ECG) is a promising tool to
detect patients with aortic stenosis (AS) before developing symptoms. However, functional …

[HTML][HTML] The development and validation of an artificial intelligence-based screening method for atrial septal defect in children's chest x-rays

L Zhixin, L Gang, J Zhixian, P Silin - Frontiers in Pediatrics, 2023 - frontiersin.org
Purpose For precise diagnosis and effective management of atrial septal defects, it is of
utmost significance to conduct elementary screenings on children. The primary aim of this …

[HTML][HTML] Diagnostic AI and Cardiac Diseases

D Uzun Ozsahin, C Ozgocmen, O Balcioglu, I Ozsahin… - Diagnostics, 2022 - mdpi.com
(1) Background: The purpose of this study is to review and highlight recent advances in
diagnostic uses of artificial intelligence (AI) for cardiac diseases, in order to emphasize …