AIMC Topic: Pain, Postoperative
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Perioperative Outcomes of Patients Who Were Not Candidates for Additional Nonsteroidal Anti-inflammatory Drugs in a Multimodal Pain Control Regimen for Total Knee Arthroplasty.
Clinics in orthopedic surgery
Dec 21, 2020
BACKGROUD: Postoperative pain following total knee arthroplasty (TKA) may hamper patients from a rapid recovery and increase perioperative blood loss and stress on the cardiovascular system. Therefore, our objective was to assess perioperative outcom...
Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment.
Computers in biology and medicine
Nov 28, 2020
The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliable medical interpretation, several automated approaches have been prop...
Artificial Intelligence Image-Assisted Knee Ligament Trauma Repair Efficacy Analysis and Postoperative Femoral Nerve Block Analgesia Effect Research.
World neurosurgery
Nov 27, 2020
OBJECTIVE: To analyze artificial intelligence image-assisted knee ligament injury repair and femoral nerve block analgesia after surgery.
Young Adult
Adult
Male
Anterior Cruciate Ligament Injuries
Middle Aged
Anterior Cruciate Ligament Reconstruction
Image Processing, Computer-Assisted
Knee Injuries
Magnetic Resonance Imaging
Femoral Nerve
Pain, Postoperative
Femoral Artery
Adolescent
Angiography
Nerve Block
Ligaments
Artificial Intelligence
Humans
Machine Learning
Female
Aged
Pure Single-site Robot-assisted Radical Prostatectomy Using Single-port Versus Multiport Robotic Radical Prostatectomy: A Single-institution Comparative Study.
European urology focus
Nov 5, 2020
BACKGROUND: Pure single-site robot-assisted extraperitoneal prostatectomy (EPP) using a single-port (SP) robotic platform has been shown to be feasible and safe in previous descriptive studies.
Machine learning approach to predict postoperative opioid requirements in ambulatory surgery patients.
PloS one
Jul 31, 2020
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...
Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis.
PloS one
Apr 15, 2020
Assessing the well-being of an animal is hindered by the limitations of efficient communication between humans and animals. Instead of direct communication, a variety of parameters are employed to evaluate the well-being of an animal. Especially in t...
A Radical Proposition: Opioid-sparing Prostatectomy.
European urology focus
Jun 21, 2019
Radical prostatectomy has largely become a procedure requiring a single day in the hospital with improving convalescence. Pre-operative counseling on perioperatively expectations including a discussion of pain management using non-opioid alternatives...
Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty.
The Journal of arthroplasty
Jun 13, 2019
BACKGROUND: Postoperative recovery after total hip arthroplasty (THA) can lead to the development of prolonged opioid use but there are few tools for predicting this adverse outcome. The purpose of this study is to develop machine learning algorithms...
Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation.
The spine journal : official journal of the North American Spine Society
Jun 9, 2019
BACKGROUND CONTEXT: Spine surgery has been identified as a risk factor for prolonged postoperative opioid use. Preoperative prediction of opioid use could improve risk stratification, shared decision-making, and patient counseling before surgery.
Predicting inadequate postoperative pain management in depressed patients: A machine learning approach.
PloS one
Feb 6, 2019
Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to exert their analgesic effects. The most commonly prescribed antidepressant, selective serotonin reuptake inhibitors (SSRIs), inhibits CYP-2D6 activity...
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