A scoping review of artificial intelligence applications in thoracic surgery.

Kenneth Patrick SeastedtDana MoukheiberSaurabh A MahindreChaitanya ThammineniDarin T RosenAmmara A WatkinsDaniel A HashimotoChuong D Hoang Jacques Kpodonu Leo Anthony Celi

Published in: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery (2021)

There is promise but also challenges for ML in thoracic surgery. The transparency of data and algorithm design and the systemic bias on which models are dependent remain issues to be addressed. Although there has yet to be widespread use in thoracic surgery, it is essential thoracic surgeons be at the forefront of the eventual safe introduction of ML to the clinic and operating room.

Keyphrases

thoracic surgery
artificial intelligence
big data
machine learning
deep learning
primary care
spinal cord
electronic health record
spinal cord injury
quality improvement