A review of evaluation approaches for explainable AI with applications in cardiology
Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI
models and is important in building trust in model predictions. XAI explanations themselves …
models and is important in building trust in model predictions. XAI explanations themselves …
Artificial intelligence in cardiac surgery: A systematic review
RM Sulague, FJ Beloy, JR Medina… - World Journal of …, 2024 - Wiley Online Library
Background Artificial intelligence (AI) has emerged as a tool to potentially increase the
efficiency and efficacy of cardiovascular care and improve clinical outcomes. This study aims …
efficiency and efficacy of cardiovascular care and improve clinical outcomes. This study aims …
Predicting major adverse cardiovascular events following carotid endarterectomy using machine learning
Background Carotid endarterectomy (CEA) is a major vascular operation for stroke
prevention that carries significant perioperative risks; however, outcome prediction tools …
prevention that carries significant perioperative risks; however, outcome prediction tools …
Decision Curve Analysis of In-Hospital Mortality Prediction Models: The Relative Value of Pre-and Intraoperative Data For Decision-Making
BACKGROUND: Clinical prediction modeling plays a pivotal part in modern clinical care,
particularly in predicting the risk of in-hospital mortality. Recent modeling efforts have …
particularly in predicting the risk of in-hospital mortality. Recent modeling efforts have …
A predictive model of 30-day mortality in patients with acute type A aortic dissection
H Pan, Z Shi, S Wang, J Bai, T Zhang - European Journal of Radiology, 2024 - Elsevier
Objective Acute type A aortic dissection (ATAAD) is a life-threatening cardiovascular disease
that requires an effective predictive model to predict and assess a patient's risk of death. Our …
that requires an effective predictive model to predict and assess a patient's risk of death. Our …