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Analgesics, Opioid

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Success rates and outcomes of the robotic NICE procedure across complicated and uncomplicated diverticulitis cases.

Surgical endoscopy
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...

Postoperative effects and complications of intrathecal morphine compared to epidural analgesia in patients undergoing intracorporeal robot-assisted radical cystectomy: a retrospective study.

BMC anesthesiology
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...

Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.

Studies in health technology and informatics
This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify the risk factors affecting drug misuse using unsupervised machine learning. The cluster with the highest proportion of successful treatment outcomes w...

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
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...

De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework.

Journal of chemical information and modeling
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...

Predicting Persistent Opioid Use after Hand Surgery: A Machine Learning Approach.

Plastic and reconstructive surgery
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
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...

Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS).

Drug and chemical toxicology
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
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...

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
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...