Committees  |   January 2020
Artificial Intelligence, Machine Learning and Other Advanced Computing – Can They Improve Patient Care and the Business of Health Care in Anesthesiology?
Author Affiliations
  • Talia K. Ben-Jacob, M.D., M.Sc.
    Committee on Young Physicians
  • Samir Kendale, M.D., FASA
    Committee on Electronic Media and Information Technology
  • Lisa E. Weiss, M.D.
    Committee on Young Physicians
Article Information
Cardiovascular Anesthesia / Critical Care / Renal and Urinary Systems / Electrolyte Balance / Technology / Equipment / Monitoring / Committees / Opioid
Committees   |   January 2020
Artificial Intelligence, Machine Learning and Other Advanced Computing – Can They Improve Patient Care and the Business of Health Care in Anesthesiology?
ASA Monitor 1 2020, Vol.84, 32-33.
ASA Monitor 1 2020, Vol.84, 32-33.
Artificial Intelligence (AI) is the “capability of a machine to imitate intelligent human behavior.”1  Similarly to humans, computers are programmed to learn from experiences.2  Traditional computer programs have specific instructions to “elicit certain behaviors from a machine based on specific inputs.” Conversely, machine learning (ML), a subset of AI, “allows for programs to learn from and react to data” without specific programming.3  ML algorithms can incorporate large amounts of disparate data that are often highly scalable. Knowledge and experience are key components in the relationship between AI and medicine.1  Natural language processing (NLP) refers to systems that can understand language as is frequently encountered by anesthesiologists and other types of physicians. It is a branch of AI that helps computers understand, interpret and manipulate human language.4  ML and NLP have some overlap as ML is often used for NLP tasks.
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