AIMC Topic: Analgesics, Opioid
Clear Filters Showing 21 to 30 of 132 articles
Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid.
RMD open
May 20, 2024
OBJECTIVES: Fibromyalgia is frequently treated with opioids due to limited therapeutic options. Long-term opioid use is associated with several adverse outcomes. Identifying factors associated with long-term opioid use is the first step in developing...
Predicting Postoperative Pain and Opioid Use with Machine Learning Applied to Longitudinal Electronic Health Record and Wearable Data.
Applied clinical informatics
May 7, 2024
BACKGROUND: Managing acute postoperative pain and minimizing chronic opioid use are crucial for patient recovery and long-term well-being.
An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals.
Computers in biology and medicine
Apr 22, 2024
OBJECTIVES: Buprenorphine is an effective evidence-based medication for opioid use disorder (OUD). Yet premature discontinuation undermines treatment effectiveness, increasing the risk of mortality and overdose. We developed and evaluated a machine l...
A machine learning algorithm for detecting abnormal patterns in continuous capnography and pulse oximetry monitoring.
Journal of clinical monitoring and computing
Apr 15, 2024
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection of abnormal ventilation, allowing intervention before patient deteri...
Robot-assisted laparoscopic nephrectomy: early outcome measures with the implementation of multimodal analgesia and intrathecal morphine via the acute pain service.
World journal of urology
Mar 4, 2024
PURPOSE: The objective of this study was to perform a retrospective cohort analysis, in which we measured the association of an acute pain service (APS)-driven multimodal analgesia protocol that included preoperative intrathecal morphine (ITM) compar...
Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help?
Addiction science & clinical practice
Jan 20, 2024
BACKGROUND: The opioid epidemic has resulted in expanded substance use treatment services and strained the clinical workforce serving people with opioid use disorder. Focusing on evidence-based counseling practices like motivational interviewing may ...
Perioperative analgesic efficacy of lumbar erector spinae plane block in dogs undergoing hemilaminectomy: a randomized blinded clinical trial.
Veterinary anaesthesia and analgesia
Dec 11, 2023
OBJECTIVE: To evaluate the perioperative analgesic effect of the unilateral lumbar erector spinae plane block (ESPB) in dogs undergoing hemilaminectomy.
Enhancing Opioid Bioactivity Predictions through Integration of Ligand-Based and Structure-Based Drug Discovery Strategies with Transfer and Deep Learning Techniques.
The journal of physical chemistry. B
Dec 11, 2023
The opioid epidemic has cast a shadow over public health, necessitating immediate action to address its devastating consequences. To effectively combat this crisis, it is crucial to discover better opioid drugs with reduced addiction potential. Artif...
Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS).
Drug and chemical toxicology
Nov 9, 2023
Methadone is an opioid receptor agonist with a high potential for abuse. The current study aimed to compare different machine learning models to predict the outcomes following methadone poisoning. This six-year retrospective longitudinal study utiliz...
Laparoscopic versus robotic TAPP/TEP inguinal hernia repair: a multicenter, propensity score weighted study.
Hernia : the journal of hernias and abdominal wall surgery
Nov 7, 2023
PURPOSE: The objective of this retrospective study was to assess safety and comparative clinical effectiveness of laparoscopic inguinal hernia repair (LIHR) and robot-assisted inguinal hernia repair (RIHR) from multi-institutional experience in Taiwa...
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