LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know

Photo by shaikhulud from unsplash

Machine learning, the quintessential tool currently driving forward the development of artificial intelligence, was discovered and developed decades ago. Nevertheless, only recently has machine learning seen an exponential increase in… Click to show full abstract

Machine learning, the quintessential tool currently driving forward the development of artificial intelligence, was discovered and developed decades ago. Nevertheless, only recently has machine learning seen an exponential increase in growth, sophistication, and influence. Recent success stories outside healthcare are numerous, including: in 2014 Facebook unveiled DeepFace, a machine learning technology capable of identifying faces with 97.25% accuracy (compared to human accuracy of 97.53%).1 In 2016 Google adopted a deep learning approach to language translation, using an algorithm which is fed massive amounts of data to effectively train itself to recognize patterns in speech, with a reduction in translation errors by 87%.2

Keywords: intelligence; anesthesia practicing; machine learning; practicing clinician; artificial intelligence; intelligence anesthesia

Journal Title: Anesthesiology
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.