Ambulatory surgery enhances resource utilization through reduced hospital stays and costs without compromising clinical outcomes. However, existing workflows are labor-intensive and repetitive, necessitating optimization in patient selection, assessm...
PURPOSE OF REVIEW: This review explores the timely and relevant applications of machine learning in ambulatory anesthesia, focusing on its potential to optimize operational efficiency, personalize risk assessment, and enhance patient care.
The last-minute cancellation of surgeries profoundly affects patients and their families. This research aimed to forecast these cancellations using EMR data and meteorological conditions at the time of the appointment, using a machine learning approa...
Journal of cancer research and clinical oncology
Apr 10, 2023
BACKGROUND: Day surgery has been widely carried out in medical developed countries such as Europe and the United States with high efficiency, safety and economy. The development of thoracic day surgery started late, and currently only a few top three...
INTRODUCTION: While minimally invasive surgery (MIS) has transformed the treatment landscape of surgical care, its utilization is not well understood. The newly released Nationwide Ambulatory Surgery Sample allows for more accurate estimates of MIS v...
Opioids play a critical role in acute postoperative pain management. Our objective was to develop machine learning models to predict postoperative opioid requirements in patients undergoing ambulatory surgery. To develop the models, we used a periope...
Journal of the American College of Surgeons
May 4, 2020
BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor filtration. Disadvantages include startup cost and system breakdown. Surgeon education notwithstanding, we hypothesize that robotic inguinal hernia re...
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