Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives

X Sun, Y Yin, Q Yang, T Huo - European Journal of Medical Research, 2023 - Springer
Artificial intelligence (AI), the technique of extracting information from complex database
using sophisticated computer algorithms, has incorporated itself in medical field. AI …

Overview and Clinical Applications of Artificial Intelligence and Machine Learning in Cardiac Anesthesiology

M Mathis, KR Steffner, H Subramanian, GP Gill… - … of Cardiothoracic and …, 2024 - Elsevier
Artificial intelligence (AI) and machine learning (ML)-based applications are becoming
increasingly pervasive in the healthcare setting. This has in turn challenged clinicians …

Predicting 7-day unplanned readmission in elderly patients with coronary heart disease using machine learning

X Song, Y Tong, Y Luo, H Chang, G Gao… - Frontiers in …, 2023 - frontiersin.org
Background Short-term unplanned readmission is always neglected, especially for elderly
patients with coronary heart disease (CHD). However, tools to predict unplanned …

A machine learning approach to high‐risk cardiac surgery risk scoring

MP Rogers, H Janjua, G Fishberger… - Journal of Cardiac …, 2022 - Wiley Online Library
Introduction In patients undergoing high‐risk cardiac surgery, the uncertainty of outcome
may complicate the decision process to intervene. To augment decision‐making, a machine …

Explainable time-series deep learning models for the prediction of mortality, prolonged length of stay and 30-day readmission in intensive care patients

Y Deng, S Liu, Z Wang, Y Wang, Y Jiang, B Liu - Frontiers in Medicine, 2022 - frontiersin.org
Background In-hospital mortality, prolonged length of stay (LOS), and 30-day readmission
are common outcomes in the intensive care unit (ICU). Traditional scoring systems and …

Machine-learning-based models assist the prediction of pulmonary embolism in autoimmune diseases: A retrospective, multicenter study

Z Hu, Y Hu, S Zhang, L Dong, X Chen… - Chinese Medical …, 2024 - journals.lww.com
Background: Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with
high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs) …

[HTML][HTML] Machine learning in cardiac surgery: a narrative review

TJ Miles, RK Ghanta - Journal of Thoracic Disease, 2024 - ncbi.nlm.nih.gov
Machine learning in cardiac surgery: a narrative review - PMC Back to Top Skip to main content
NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main …

Remote monitoring following adult cardiac surgery: A paradigm shift?

KW Lobdell, S Crotwell, LT Watts, B LeNoir, J Frederick… - JTCVS open, 2023 - Elsevier
Abstract Background The Perfect Care (PC) initiative engages, educates, and enrolls adult
cardiac surgery patients into a transformational program that includes an app for …

Using machine learning to improve the readability of hospital discharge instructions for heart failure

AW Tuan, N Cannon, D Foley, N Gupta, C Park… - medRxiv, 2023 - medrxiv.org
Background Low health literacy is associated with poor health outcomes. Hospital discharge
instructions are often written at advanced reading levels, limiting patients' with low health …

[PDF][PDF] Remote monitoring following adult cardiac surgery: A paradigm shift?

J Frederick, ER Skipper, GB Russell, R Habib - 2023 - researchgate.net
ABSTRACT Background: The Perfect Care (PC) initiative engages, educates, and enrolls
adult cardiac surgery patients into a transformational program that includes an app for …