Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

M Van Smeden, G Heinze, B Van Calster… - European heart …, 2022 - academic.oup.com
The medical field has seen a rapid increase in the development of artificial intelligence (AI)-
based prediction models. With the introduction of such AI-based prediction model tools and …

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 …

Effect of digoxin vs bisoprolol for heart rate control in atrial fibrillation on patient-reported quality of life: the RATE-AF randomized clinical trial

D Kotecha, KV Bunting, SK Gill, S Mehta, M Stanbury… - Jama, 2020 - jamanetwork.com
Importance There is little evidence to support selection of heart rate control therapy in
patients with permanent atrial fibrillation, in particular those with coexisting heart failure …

Welfare of pigs on farm

EFSA Panel on Animal Health and Welfare … - EFSA …, 2022 - Wiley Online Library
This scientific opinion focuses on the welfare of pigs on farm, and is based on literature and
expert opinion. All pig categories were assessed: gilts and dry sows, farrowing and lactating …

Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest …

JB Augusto, RH Davies, AN Bhuva, KD Knott… - The Lancet Digital …, 2021 - thelancet.com
Background Left ventricular maximum wall thickness (MWT) is central to diagnosis and risk
stratification of hypertrophic cardiomyopathy, but human measurement is prone to variability …

Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review

J Van den Eynde, M Lachmann, KL Laugwitz… - Trends in cardiovascular …, 2023 - Elsevier
The omnipresence and deep impact of artificial intelligence (AI) in today's society are
undeniable. While the technology has already established itself as a powerful tool in several …

[HTML][HTML] Importance of nonlongitudinal motion components in right ventricular function: three-dimensional echocardiographic study in healthy volunteers

BK Lakatos, Y Nabeshima, M Tokodi, Y Nagata… - Journal of the American …, 2020 - Elsevier
Background Global right ventricular (RV) function is determined by the interplay of different
motion components related to the myofiber architecture, and the relative importance of these …

Robustness of magnetic resonance radiomic features to pixel size resampling and interpolation in patients with cervical cancer

SH Park, H Lim, BK Bae, MH Hahm, GO Chong… - Cancer Imaging, 2021 - Springer
Background Radiomics is a promising field in oncology imaging. However, the
implementation of radiomics clinically has been limited because its robustness remains …

[HTML][HTML] Improved assessment of left ventricular ejection fraction using artificial intelligence in echocardiography: A comparative analysis with cardiac magnetic …

KM Sveric, S Ulbrich, Z Dindane, A Winkler… - International Journal of …, 2024 - Elsevier
Background Left ventricular ejection fraction (LVEF) measurement in echocardiography
(Echo) using the recommended modified biplane Simpson (MBS) method is operator …

Validity and reliability of the XSENSOR in-shoe pressure measurement system

D Parker, J Andrews, C Price - PLoS One, 2023 - journals.plos.org
Background In-shoe pressure measurement systems are used in research and clinical
practice to quantify areas and levels of pressure underfoot whilst shod. Their validity and …