Anesthesiology

External Validation of an Algorithm to Guide Opioid Administration at the End of Surgery-Protocol for an Observational Cohort Study of the OPIAID Algorithm.

BACKGROUND: Despite advances in pain management, inadequate pain relief and opioid-related adverse e...

Identification and designing an analgesic opioid cyclic peptide from Defensin 4 of Mesobuthus martensii Karsch scorpion venom with more effectiveness than morphine.

Considering the limitations of use and side effects of existing analgesics, the discovery of new ana...

Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.

Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research...

BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia

Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-...

A Spatial Metabolomics Annotation Workflow Leveraging Cyclic Ion Mobility and Machine Learning-Predicted Collision Cross Sections.

In nontargeted spatial metabolomics, accurate annotation is crucial for understanding metabolites' b...

Chinese acupoint therapies in cancer pain management: research advances and future perspectives.

Cancer pain management (CPM) is crucial in oncology care, with current approaches including pharmaco...

Three pillars of artificial intelligence research in anesthesiology: welcoming address to the Korean Journal of Anesthesiology's new guidelines for machine learning and deep learning research.

Optimizing predictive model performance in adult spinal deformity surgery: a comparative head-to-head analysis of learning models for perioperative complications.

OBJECTIVE: The aim of this study was to develop and compare 4 predictive algorithms, including logis...

Assessing bias in AI-driven psychiatric recommendations: A comparative cross-sectional study of chatbot-classified and CANMAT 2023 guideline for adjunctive therapy in difficult-to-treat depression.

The integration of chatbots into psychiatry introduces a novel approach to support clinical decision...

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model

Intraoperative hypotension (IOH) frequently occurs under general anesthesia and is strongly linked...

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model

Intraoperative hypotension (IOH) frequently occurs under general anesthesia and is strongly linked...

[New technologies serve as accelerators for breakthroughs in modern acupuncture research].

As one of China's most internationally influential original disciplines, acupuncture-moxibustion has...

Machine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery.

The incidence of hypotension after a lumbosacral epidural in dogs depends on the volume of local ana...

Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques.

By helping the neurosurgeon create treatment strategies that increase the survival rate, automotive ...

Predicting Care Times at PACU.

Patients undergoing anesthetic surgery are treated postoperatively in a Post-Anesthesia Care Unit (P...

An Integrated AI Cloud Sharing Framework for Predictive AI and Generative AI in Healthcare.

In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface we...

DEMAC-Net: A Dual-Encoder Multiattention Collaborative Network for Cervical Nerve Pathway and Adjacent Anatomical Structure Segmentation.

OBJECTIVE: Currently, cervical anesthesia is performed using three main approaches: superficial cerv...

Current Trends and Future Directions in Lumbar Spine Surgery: A Review of Emerging Techniques and Evolving Management Paradigms.

: Lumbar spine surgery has undergone significant technological transformation in recent years, drive...

Analyzing Key Predictors of Postoperative Delirium Following Coronary Artery Bypass Grafting and Aortic Valve Replacement: A Machine Learning Perspective.

: Postoperative delirium (POD) is a frequent and severe complication following cardiac surgery, part...

Enhanced recovery programme in robotic hysterectomy.

The standard care for endometrial cancer includes total hysterectomy, bilateral salpingo-oophorectom...

Investigating perioperative pressure injuries and factors influencing them with imbalanced samples using a Synthetic Minority Over-sampling Technique.

This study investigates the use of machine learning (ML) models combined with a Synthetic Minority O...