OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expert consensus for ambulatory surgery centers published since 2000, combining manual assessment with large language model (LLM) analysis, while explorin...
AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- and perioperative variables to predict same-day discharge in patients undergoing total knee arthroplasty (TKA).
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...
Journal of cancer research and clinical oncology
37037929
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...
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...
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.