Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

M Avanzo, M Porzio, L Lorenzon, L Milan, R Sghedoni… - Physica Medica, 2021 - Elsevier
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review

VS de Siqueira, MM Borges, RG Furtado… - Artificial intelligence in …, 2021 - Elsevier
The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …

The prognostic value of right atrial strain imaging in patients with precapillary pulmonary hypertension

NE Hasselberg, N Kagiyama, Y Soyama… - Journal of the American …, 2021 - Elsevier
Background Right ventricular (RV) failure in patients with pulmonary hypertension (PH) is
associated with unfavorable clinical events and a poor prognosis. Elevation of right atrial …

Machine learning applications in optical fiber sensing: A research agenda

E Reyes-Vera, A Valencia-Arias, V García-Pineda… - Sensors, 2024 - mdpi.com
The constant monitoring and control of various health, infrastructure, and natural factors
have led to the design and development of technological devices in a wide range of fields …

Pulmonary artery pulsatility index as a predictor of right ventricular failure in left ventricular assist device recipients: A systematic review

M Essandoh, N Kumar, N Hussain, AA Dalia… - The Journal of Heart and …, 2022 - Elsevier
Background It is critical to identify patients at increased risk of right ventricular failure (RVF)
before left ventricular assist device (LVAD) implantation. Pulmonary artery pulsatility index …

Contemporary applications of machine learning for device therapy in heart failure

N Gautam, SN Ghanta, A Clausen, P Saluja… - Heart Failure, 2022 - jacc.org
Despite a better understanding of the underlying pathogenesis of heart failure (HF),
pharmacotherapy, surgical, and percutaneous interventions do not prevent disease …

Virtual healthcare solutions in heart failure: a literature review

KCS Lee, B Breznen, A Ukhova, SS Martin… - Frontiers in …, 2023 - frontiersin.org
The widespread adoption of mobile technologies offers an opportunity for a new approach to
post-discharge care for patients with heart failure (HF). By enabling non-invasive remote …

Right ventricular longitudinal strain in patients with heart failure

M Ji, W Wu, L He, L Gao, Y Zhang, Y Lin, M Qian… - Diagnostics, 2022 - mdpi.com
Patients with heart failure (HF) have high morbidity and mortality. Accurate assessment of
right ventricular (RV) function has important prognostic significance in patients with HF …

Prediction of right ventricular failure after left ventricular assist device implantation in patients with heart failure: a meta-analysis comparing echocardiographic …

LE Chriqui, P Monney, M Kirsch… - … and Thoracic Surgery, 2021 - academic.oup.com
Abstract OBJECTIVES Between 10% and 40% of patients who receive a left ventricular
assistance device (LVAD) suffer from right ventricular failure (RVF) shortly after the device is …

Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review

MA Al-Ani, C Bai, A Hashky, AM Parker… - Frontiers in …, 2023 - frontiersin.org
Introduction Artificial intelligence can recognize complex patterns in large datasets. It is a
promising technology to advance heart failure practice, as many decisions rely on expert …