AIMC Topic: Analgesics
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Analysis of User-Generated Posts on Social Media of Adjuvant Analgesics: A Machine Learning Study.
International journal of medical sciences
Jan 1, 2025
Antiepileptics and antidepressants are frequently prescribed for chronic pain, but their efficacy and potential adverse effects raise concerns, including dependency issues. Increased prescriptions, sometimes fraudulent, prompted reclassification of ...
Analgesic effect of the ultrasound-guided thoracolumbar paravertebral block in patients undergoing robot-assisted laparoscopic nephrectomy: a randomized controlled trial.
BMC anesthesiology
Feb 22, 2024
BACKGROUND: Paravertebral block has similar effect as epidural anesthesia, and has good somatic and visceral analgesic effect. Paravertebral block is widely used in thoracic surgery, but rarely used in abdominal surgery.
Applications of Artificial Intelligence in Pain Medicine.
Current pain and headache reports
Feb 12, 2024
PURPOSE OF REVIEW: This review explores the current applications of artificial intelligence (AI) in the field of pain medicine with a focus on machine learning.
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.
Development of a spontaneous pain indicator based on brain cellular calcium using deep learning.
Experimental & molecular medicine
Aug 18, 2022
Chronic pain remains an intractable condition in millions of patients worldwide. Spontaneous ongoing pain is a major clinical problem of chronic pain and is extremely challenging to diagnose and treat compared to stimulus-evoked pain. Although extens...
Cutoff criteria for the placebo response: a cluster and machine learning analysis of placebo analgesia.
Scientific reports
Sep 28, 2021
Computations of placebo effects are essential in randomized controlled trials (RCTs) for separating the specific effects of treatments from unspecific effects associated with the therapeutic intervention. Thus, the identification of placebo responder...
Intraoperative multimodal analgesic bundle containing dexmedetomidine and ketorolac may improve analgesia after robot-assisted prostatectomy in patients receiving rectus sheath blocks.
Asian journal of surgery
Aug 6, 2021
BACKGROUND: Minimally invasive robot-assisted laparoscopic radical prostatectomy (RALP) has replaced open prostatectomy. However, RALP does not reduce postoperative pain compared to the open approach. We explored whether bundled intraoperative intrav...
Comment on "Comparison of analgesic efficacy between rectus sheath blockade, intrathecal morphine with bupivacaine, and intravenous patient-controlled analgesia in patients undergoing robot-assisted laparoscopic prostatectomy: a prospective, observational clinical study".
BMC anesthesiology
Mar 17, 2021
Prioritizing Pain-Associated Targets with Machine Learning.
Biochemistry
Feb 19, 2021
While hundreds of genes have been associated with pain, much of the molecular mechanisms of pain remain unknown. As a result, current analgesics are limited to few clinically validated targets. Here, we trained a machine learning (ML) ensemble model ...
An Approach to Biomarker Discovery of Cannabis Use Utilizing Proteomic, Metabolomic, and Lipidomic Analyses.
Cannabis and cannabinoid research
Jun 19, 2020
Relatively little is known about the molecular pathways influenced by cannabis use in humans. We used a multi-omics approach to examine protein, metabolomic, and lipid markers in plasma differentiating between cannabis users and nonusers to understa...
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