A scoping review of artificial intelligence applications in thoracic surgery

A scoping review of artificial intelligence applications in thoracic surgery

OBJECTIVES: Machine learning (ML) has great potential, but there are few examples of its implementation improving outcomes. The thoracic surgeon must be aware of pertinent ML literature and how to evaluate this field for the safe translation to patient care. This scoping review provides an introduct...

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Bibliographic Details
Main Authors: Celi, L.A (Author), Hashimoto, D.A (Author), Hoang, C.D (Author), Kpodonu, J. (Author), Mahindre, S.A (Author), Moukheiber, D. (Author), Rosen, D.T (Author), Seastedt, K.P (Author), Thammineni, C. (Author), Watkins, A.A (Author)
Format: Article
Language:English
Published: European Association for Cardio-Thoracic Surgery 2022
Subjects:
adverse event
algorithm
Algorithm
Algorithms
artificial intelligence
Artificial intelligence
Artificial Intelligence
calibration
Complications
diagnostic test
human
Humans
learning algorithm
Machine learning
methodology
patient care
postoperative complication
prediction
Prediction
preoperative period
quality control
reproducibility
Reproducibility of Results
Review
surgeon
Survival
survival rate
systematic review
Thoracic Surgery
Thoracic Surgical Procedures
thorax surgery
total quality management
validation process
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