Comparing machine learning algorithms for predicting COVID-19 mortality

K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

Artificial intelligence, computational simulations, and extended reality in cardiovascular interventions

S Samant, JJ Bakhos, W Wu, S Zhao… - Cardiovascular …, 2023 - jacc.org
Artificial intelligence, computational simulations, and extended reality, among other 21st
century computational technologies, are changing the health care system. To collectively …

Machine learning and artificial intelligence in research and healthcare

L Rubinger, A Gazendam, S Ekhtiari, M Bhandari - Injury, 2023 - Elsevier
Artificial intelligence (AI) is a broad term referring to the application of computational
algorithms that can analyze large data sets to classify, predict, or gain useful conclusions …

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 …

[HTML][HTML] A new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method

ZA Varzaneh, A Orooji, L Erfannia… - Informatics in medicine …, 2022 - Elsevier
Background Predicting severe respiratory failure due to COVID-19 can help triage patients
to higher levels of care, resource allocation and decrease morbidity and mortality. The need …

[PDF][PDF] 医学影像人工智能在心脏瓣膜疾病介入诊疗中的应用

谢明星 - 临床心血管病杂志, 2022 - lcxxgen.whuhzzs.com
医学影像人工智能技术的研究与进展, 将极大促进现代心脏瓣膜病介入诊疗的进步. 超声心动图,
心脏磁共振, CT 与心血管造影等成像技术, 在心脏瓣膜病介入治疗术前患者精准筛选 …

[HTML][HTML] Design of an artificial neural network to predict mortality among COVID-19 patients

M Shanbehzadeh, R Nopour… - Informatics in medicine …, 2022 - Elsevier
Introduction The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …

Artificial intelligence in cardiovascular medicine

S Ranka, M Reddy, A Noheria - Current Opinion in Cardiology, 2021 - journals.lww.com
Artificial intelligence demonstrates the ability to learn through assimilation of large datasets
to unravel complex relationships, discover prior unfound pathophysiological states and …

[HTML][HTML] Artificial intelligence and transcatheter interventions for structural heart disease: a glance at the (near) future

JM Ribeiro, P Astudillo, O de Backer, R Budde… - Trends in cardiovascular …, 2022 - Elsevier
With innovations in therapeutic technologies and changes in population demographics,
transcatheter interventions for structural heart disease have become the preferred treatment …

[HTML][HTML] Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease

B Jaltotage, J Lu, G Dwivedi - Canadian Journal of Cardiology, 2024 - Elsevier
The rising prevalence of cardiovascular disease presents an escalating challenge for
current health services, which are grappling with increasing demands. Innovative changes …