Primer on machine learning: utilization of large data set an... : Current Opinion in Anesthesiology
Primer on machine learning: utilization of large data set analyses to individualize pain …

Despite increased available pain therapies, more than 50 to 100 million people in the United
States still live with pain and 20 million live with high-impact chronic pain that frequently …

The applications of artificial intelligence (AI) and machine learning (ML) have shown
promising results in healthcare. However, while many advances have been made to …

Pain management has always been one of the core topics discussed in anesthesiology. The
realm of pain management that benefits from AI may penetrate every stage of anesthesia …

Background Appropriate postoperative pain management contributes to earlier mobilization,
shorter hospitalization, and reduced cost. The under treatment of pain may impede short …

Artificial intelligence (AI) tools are currently expanding their influence within healthcare. For
pain clinics, unfettered introduction of AI may cause concern in both patients and healthcare …

Background Given their ability to process highly dimensional datasets with hundreds of
variables, machine learning algorithms may offer one solution to the vexing challenge of …

Recent Food and Drug Administration (FDA) approval of the first autonomous, diagnostic
system 1 heralds the arrival of clinical machine learning (ML). ML is a promising form of …

The digital transformation of healthcare is advancing, leading to an increasing availability of
clinical data for research. Perioperative big data initiatives were established to monitor …

Background: Traditional pain assessment methods have significant limitations due to the
high variability in patient reported pain scores and perception of pain by different individuals …