[HTML][HTML] Big Data in cardiac surgery: real world and perspectives
A Montisci, V Palmieri, MT Vietri, S Sala… - Journal of cardiothoracic …, 2022 - Springer
Big Data, and the derived analysis techniques, such as artificial intelligence and machine
learning, have been considered a revolution in the modern practice of medicine. Big Data …
learning, have been considered a revolution in the modern practice of medicine. Big Data …
Artificial intelligence in cardiothoracic surgical research: Accomplishments and future directions
Mini-abstract The study introduces various methods of performing conventional ML and their
implementation in surgical areas, and the need to move beyond these traditional …
implementation in surgical areas, and the need to move beyond these traditional …
Quality indicators and proactive approach in cardiac surgery before and after cardiopulmonary bypass
I Condello - European Journal of Cardio-Thoracic Surgery, 2023 - academic.oup.com
The General Data Protection Regulation (GDPR), enacted in the European Union in 2018,
has significantly transformed the landscape of personal data management and protection …
has significantly transformed the landscape of personal data management and protection …
Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study
Objective The introduction of new clinical risk scores (eg European System for Cardiac
Operative Risk Evaluation (EuroSCORE) II) superseding original scores (eg EuroSCORE I) …
Operative Risk Evaluation (EuroSCORE) II) superseding original scores (eg EuroSCORE I) …
[HTML][HTML] Will artificial intelligence help us in predicting outcomes in cardiac surgery?
CA Mestres, E Quintana, D Pereda - Journal of cardiac surgery, 2022 - ncbi.nlm.nih.gov
Computers changed our lives for good and for bad quite a while ago. People in the kind of
seniority side may agree that the Commodore 64, also known as the C64 or the CBM 64, an …
seniority side may agree that the Commodore 64, also known as the C64 or the CBM 64, an …
Randomized trials and big data analysis: we need the best of both worlds
T Treasure, JJM Takkenberg - European Journal of Cardio …, 2018 - academic.oup.com
Seventy years ago, establishing the worth of an operation was more straightforward. For
example, there was little of any use to be done for structural heart disease. Cyanotic heart …
example, there was little of any use to be done for structural heart disease. Cyanotic heart …
What we can learn from Big Data about factors influencing perioperative outcome
Big Data is becoming increasingly popular with the collaborative collection of registries
offering anesthesia a way to explore rare perioperative complications and outcome to …
offering anesthesia a way to explore rare perioperative complications and outcome to …
[HTML][HTML] Development of machine learning models for mortality risk prediction after cardiac surgery
Y Fan, J Dong, Y Wu, M Shen, S Zhu, X He… - Cardiovascular …, 2022 - ncbi.nlm.nih.gov
Background We developed machine learning models that combine preoperative and
intraoperative risk factors to predict mortality after cardiac surgery. Methods Machine …
intraoperative risk factors to predict mortality after cardiac surgery. Methods Machine …
Clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making
N Allou, J Allyn, S Provenchere, B Delmas… - The Journal of Thoracic …, 2023 - Elsevier
Objectives The aim of this study using decision curve analysis (DCA) was to evaluate the
clinical utility of a deep-learning mortality prediction model for cardiac surgery decision …
clinical utility of a deep-learning mortality prediction model for cardiac surgery decision …
Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis
Background Machine learning (ML) models are promising tools for predicting adverse
postoperative outcomes in cardiac surgery, yet have not translated to routine clinical use …
postoperative outcomes in cardiac surgery, yet have not translated to routine clinical use …