Newly Published
Review Article  |   September 2019
Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations
Author Notes
  • From the Surgical Artificial Intelligence and Innovation Laboratory (D.A.H., E.W., O.M., G.R.) and Department of Anesthesia, Critical Care, and Pain Medicine (L.G.), Massachusetts General Hospital, Boston, Massachusetts; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts (G.R.).
  • Supplemental Digital Content is available for this article. Direct URL citations appear in the printed text and are available in both the HTML and PDF versions of this article. Links to the digital files are provided in the HTML text of this article on the Journal’s Web site (www.anesthesiology.org).
    Supplemental Digital Content is available for this article. Direct URL citations appear in the printed text and are available in both the HTML and PDF versions of this article. Links to the digital files are provided in the HTML text of this article on the Journal’s Web site (www.anesthesiology.org).×
  • Submitted for publication November 26, 2018. Accepted for publication July 29, 2019.
    Submitted for publication November 26, 2018. Accepted for publication July 29, 2019.×
  • Correspondence: Address correspondence to Dr. Hashimoto: Surgical Artificial Intelligence and Innovation Laboratory, Massachusetts General Hospital, 15 Parkman Street, WAC 339, Boston, Massachusetts 02139. dahashimoto@mgh.harvard.edu. Information on purchasing reprints may be found at www.anesthesiology.org or on the masthead page at the beginning of this issue. Anesthesiology’s articles are made freely accessible to all readers, for personal use only, 6 months from the cover date of the issue.
Article Information
Review Article / Cardiovascular Anesthesia / Central and Peripheral Nervous Systems / Critical Care / Neuromuscular Diseases and Drugs / Pain Medicine / Patient Safety / Radiological and Other Imaging / Technology / Equipment / Monitoring
Review Article   |   September 2019
Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations
Anesthesiology Newly Published on September 12, 2019. doi:10.1097/ALN.0000000000002960
Anesthesiology Newly Published on September 12, 2019. doi:10.1097/ALN.0000000000002960
Abstract

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial intelligence in anesthesiology: (1) depth of anesthesia monitoring, (2) control of anesthesia, (3) event and risk prediction, (4) ultrasound guidance, (5) pain management, and (6) operating room logistics. Based on papers identified in the review, several topics within artificial intelligence were described and summarized: (1) machine learning (including supervised, unsupervised, and reinforcement learning), (2) techniques in artificial intelligence (e.g., classical machine learning, neural networks and deep learning, Bayesian methods), and (3) major applied fields in artificial intelligence.

The implications of artificial intelligence for the practicing anesthesiologist are discussed as are its limitations and the role of clinicians in further developing artificial intelligence for use in clinical care. Artificial intelligence has the potential to impact the practice of anesthesiology in aspects ranging from perioperative support to critical care delivery to outpatient pain management.