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 …
using sophisticated computer algorithms, has incorporated itself in medical field. AI …
Overview and Clinical Applications of Artificial Intelligence and Machine Learning in Cardiac Anesthesiology
Artificial intelligence (AI) and machine learning (ML)-based applications are becoming
increasingly pervasive in the healthcare setting. This has in turn challenged clinicians …
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 …
patients with coronary heart disease (CHD). However, tools to predict unplanned …
A machine learning approach to high‐risk cardiac surgery risk scoring
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 …
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 …
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) …
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 …
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 …
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 …
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 …
adult cardiac surgery patients into a transformational program that includes an app for …