A primer on the present state and future prospects for machine learning and artificial intelligence applications in cardiology

C Manlhiot, J van den Eynde, S Kutty… - Canadian Journal of …, 2022 - Elsevier
The artificial intelligence (AI) revolution is well underway, including in the medical field, and
has dramatically transformed our lives. An understanding of the basics of AI applications …

Artificial intelligence in congenital heart disease: current state and prospects

PN Jone, A Gearhart, H Lei, F Xing, J Nahar… - JACC: Advances, 2022 - jacc.org
The current era of big data offers a wealth of new opportunities for clinicians to leverage
artificial intelligence to optimize care for pediatric and adult patients with a congenital heart …

Machine learning to predict stent restenosis based on daily demographic, clinical, and angiographic characteristics

J Sampedro-Gómez, PI Dorado-Díaz… - Canadian Journal of …, 2020 - Elsevier
Background Machine learning (ML) has arrived in medicine to deliver individually adapted
medical care. This study sought to use ML to discriminate stent restenosis (SR) compared …

Artificial intelligence applied to cardiovascular imaging, a critical focus on echocardiography: The point‐of‐view from “the other side of the coin”

L Dell'Angela, GL Nicolosi - Journal of Clinical Ultrasound, 2022 - Wiley Online Library
Cardiovascular imaging has achieved a crucial role in the management of cardiovascular
diseases. In this field, echocardiography advantages include wide availability, portability …

[HTML][HTML] Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography

DSL Martinez, PA Noseworthy, O Akbilgic… - American heart journal …, 2022 - Elsevier
Cardiovascular disease is a leading cause of death among cancer survivors, second only to
cancer recurrence or development of new tumors. Cardio-oncology has therefore emerged …

La inteligencia artificial en la educación médica y la predicción en salud

AN Joison, RJ Barcudi, EA Majul… - … Aplicada a las …, 2021 - methodo.ucc.edu.ar
La inteligencia artificial tiene el potencial de transformar la forma en que se brinda la
atención médica. Puede respaldar mejoras en los resultados y aumentar la productividad y …

Interpretable prediction models for disability in older adults with hypertension: the Chinese Longitudinal Healthy Longevity and Happy Family Study

Y Wu, C Xiang, Z Wang, Y Fang - Psychogeriatrics, 2024 - Wiley Online Library
Background Older adults with hypertension have a high risk of disability, while an accurate
risk prediction model is still lacking. This study aimed to construct interpretable disability …

Machine learning for prediction of technical results of percutaneous coronary intervention for chronic total occlusion

T Nakachi, M Yamane, K Kishi, T Muramatsu… - Journal of Clinical …, 2023 - mdpi.com
(1) Background: The probability of technical success in percutaneous coronary intervention
(PCI) for chronic total occlusion (CTO) represents essential information for specifying the …

Predicting length of stay using regression and Machine Learning models in Intensive Care Unit: a pilot study

I Picone, I Latessa, A Fiorillo, A Scala… - Proceedings of the …, 2021 - dl.acm.org
Healthcare Associated Infection (HAI) is a major health problem in several departments of
the hospital sector. These infections cause prolonged length of stay (LOS), complications …

Distinguishing cardiac myxomas from cardiac thrombi by a radiomics signature based on cardiovascular contrast-enhanced computed tomography images

W Qian, Y Jiang, X Liu, Y Guo, Y Li, X Tang… - BMC Cardiovascular …, 2021 - Springer
Abstract Background Cardiac myxomas (CMs) and thrombi are associated with high
morbidity and mortality. These two conditions need totally different treatments. However …