Improving Quality in Cardiothoracic Surgery: Exploiting the Untapped Potential of Machine Learning
Author:
Publisher
Elsevier BV
Subject
Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery
Reference17 articles.
1. Current penetration, completeness, and representativeness of The Society of Thoracic Surgeons Adult Cardiac Surgery Database;Jacobs;Ann Thorac Surg,2022
2. Professional society leadership in health care quality: The Society of Thoracic Surgeons experience;Shahian;Jt Comm J Qual Patient Saf,2019
3. Video-based AI for beat-to-beat assessment of cardiac function;Ouyang;Nature,2020
4. Automated coronary calcium scoring using deep learning with multicenter external validation;Eng;NPJ Digit Med,2021
5. Artificial intelligence in thoracic surgery: a narrative review;Bellini;J Thorac Dis,2021
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Learning From Machines to Predict Mortality After Surgical or Percutaneous Revascularization;Journal of the American College of Cardiology;2023-11
2. Artificial Intelligence in Cardiac Surgery: A Systematic Review;2023-10-19
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