AIMC Topic: Analgesics, Opioid
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Predicting Persistent Opioid Use after Hand Surgery: A Machine Learning Approach.
Plastic and reconstructive surgery
Sep 29, 2023
BACKGROUND: The aim of this study was to evaluate the use of machine learning to predict persistent opioid use after hand surgery.
Machine Learning Algorithms Predict Long-Term Postoperative Opioid Misuse: A Systematic Review.
The American surgeon
Sep 21, 2023
INTRODUCTION: A steadily rising opioid pandemic has left the US suffering significant social, economic, and health crises. Machine learning (ML) domains have been utilized to predict prolonged postoperative opioid (PPO) use. This systematic review ai...
Comparative Analysis of the Efficacy of Intrathecal Fentanyl and Magnesium Sulphate as an Adjuvant to Bupivacaine: A Double-Blinded Randomized Controlled Trial.
Asian journal of anesthesiology
Sep 1, 2023
BACKGROUNDS: The duration and potency of the subarachnoid block (SAB) can be enhanced by incorporating spinal additives into local anesthetics. In this study, the effectiveness of intrathecal fentanyl and magnesium sulphate as adjuvant anesthetics to...
De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework.
Journal of chemical information and modeling
Aug 9, 2023
Likely effective pharmacological interventions for the treatment of opioid addiction include attempts to attenuate brain reward deficits during periods of abstinence. Pharmacological blockade of the κ-opioid receptor (KOR) has been shown to abolish b...
External validation of machine learning algorithm predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients using a Taiwanese cohort.
Journal of the Formosan Medical Association = Taiwan yi zhi
Jul 13, 2023
BACKGROUND/PURPOSE: Identifying patients at risk of prolonged opioid use after surgery prompts appropriate prescription and personalized treatment plans. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) was developed to pred...
Postoperative effects and complications of intrathecal morphine compared to epidural analgesia in patients undergoing intracorporeal robot-assisted radical cystectomy: a retrospective study.
BMC anesthesiology
May 22, 2023
BACKGROUND: Analgesia after robot assisted radical cystectomy aims to reduce postoperative pain and opioid consumption, while facilitating early mobilization and enteral nutrition and minimizing complications. Epidural analgesia is currently recommen...
Success rates and outcomes of the robotic NICE procedure across complicated and uncomplicated diverticulitis cases.
Surgical endoscopy
Mar 31, 2023
INTRODUCTION: We implemented the NICE procedure as a robotic natural orifice colorectal resection utilizing the rectum to extract the specimen and complete an intracorporal anastomosis for diverticulitis in 2018. Although complicated diverticulitis i...
Single Port Versus Multiport Robot-assisted Simple Prostatectomy: A Multi-institutional Study From the Single-port Advanced Research Consortium (SPARC).
Urology
Mar 29, 2023
OBJECTIVE: To compare robot-assisted simple prostatectomy intraoperative and postoperative.ßoutcomes between single-port (SP) and multiport (MP) robotic systems in a multi-institutional setting.
A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.
International journal of medical informatics
Dec 31, 2022
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...
Using natural language processing to identify opioid use disorder in electronic health record data.
International journal of medical informatics
Dec 10, 2022
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disorder (OUD) and its adverse outcomes. Accurate and complete epidemiologic surveillance of OUD, to inform prevention strategies, presents challenges. The ...
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