2023 ESC guidelines for the management of acute coronary syndromes: developed by the task force on the management of acute coronary syndromes of the …

RA Byrne, X Rossello, JJ Coughlan… - … Heart Journal: Acute …, 2024 - academic.oup.com
2023 ESC Guidelines for the management of acute coronary syndromes Page 1 2023 ESC
Guidelines for the management of acute coronary syndromes Developed by the task force on …

Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art

A Garavand, A Behmanesh, N Aslani… - … Journal of Intelligent …, 2023 - Wiley Online Library
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …

Sex-specific evaluation and redevelopment of the GRACE score in non-ST-segment elevation acute coronary syndromes in populations from the UK and Switzerland …

FA Wenzl, S Kraler, G Ambler, C Weston, SA Herzog… - The Lancet, 2022 - thelancet.com
Summary Background The Global Registry of Acute Coronary Events (GRACE) 2.0 score
was developed and validated in predominantly male patient populations. We aimed to …

Long-term follow-up of recovered patients with COVID-19

M Cortinovis, N Perico, G Remuzzi - The Lancet, 2021 - thelancet.com
colleagues must be congratulated for develo** a comprehensive and well designed score
for integrating thrombotic and bleeding risks in patients with ACS. Compared with previous …

Artificial intelligence technologies in cardiology

Ł Ledziński, G Grześk - Journal of Cardiovascular Development and …, 2023 - mdpi.com
As the world produces exabytes of data, there is a growing need to find new methods that
are more suitable for dealing with complex datasets. Artificial intelligence (AI) has significant …

XGBoost, a novel explainable AI technique, in the prediction of myocardial infarction: a UK Biobank cohort study

A Moore, M Bell - Clinical Medicine Insights: Cardiology, 2022 - journals.sagepub.com
We wanted to assess if “Explainable AI” in the form of extreme gradient boosting (XGBoost)
could outperform traditional logistic regression in predicting myocardial infarction (MI) in a …

Machine learning‑based prediction of survival prognosis in esophageal squamous cell carcinoma

K Zhang, B Ye, L Wu, S Ni, Y Li, Q Wang, P Zhang… - Scientific Reports, 2023 - nature.com
The current prognostic tools for esophageal squamous cell carcinoma (ESCC) lack the
necessary accuracy to facilitate individualized patient management strategies. To address …

Road map for clinicians to develop and evaluate AI predictive models to inform clinical decision-making

N Hassan, R Slight, G Morgan… - BMJ Health & Care …, 2023 - pmc.ncbi.nlm.nih.gov
Background Predictive models have been used in clinical care for decades. They can
determine the risk of a patient develo** a particular condition or complication and inform …

Artificial intelligence and cardiovascular risk prediction: all that glitters is not gold

M Chiarito, L Luceri, A Oliva… - European …, 2022 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) is a broad term referring to any automated systems that need
'intelligence'to carry out specific tasks. During the last decade, AI-based techniques have …

The OAC3-PAD risk score predicts major bleeding events one year after hospitalisation for peripheral artery disease

CA Behrendt, T Kreutzburg, J Nordanstig… - European Journal of …, 2022 - Elsevier
Objective There is a paucity of evidence concerning the risk of bleeding after hospitalisation
for symptomatic peripheral artery disease (PAD) in everyday clinical practice, as randomised …