Surgery

SEMASEARCH Study Design: Real-World Evaluation of Semaglutide 2.4 mg in Adults With Severe Obesity Underrepresented in Clinical Trials.

BACKGROUND: Although semaglutide 2.4 mg has demonstrated significant weight loss efficacy in clinical trials, real-world data, particularly with regard to clinically complex and underrepresented populations, remain limited. OBJECTIVES: The study aims to assess the real-world effectiveness and patient-reported outcomes associated with the use of semaglutide 2.4 mg in individuals with severe and com...

Technical Description of the Mini Far-Lateral Approach: A Refined, Stability-Preserving Corridor to the Petroclival Region.

BACKGROUND AND OBJECTIVES: The far-lateral approach remains essential for accessing ventral and ventrolateral lesions of the craniovertebral junction. However, traditional exposures may involve extensive condylar drilling and muscle dissection, which can compromise craniocervical junction stability. This study aimed to define and quantitatively evaluate a stability-preserving mini far-lateral corr...

Artificial Intelligence-Derived Emotionality State Score Correlates with Layperson Assessment and Objective Measurements in Facial Paralysis.

BACKGROUND: There is growing interest in using artificial intelligence (AI) to track the outcomes of patients with facial paralysis (FP). However, val...

Contemporary Indications and Technical Limits of Transoral Laser Microsurgery for Laryngeal Squamous Cell Carcinoma.

Transoral laser microsurgery (TOLMS) is an established organ-preserving treatment for early-stage and selected intermediate-stage laryngeal squamous c...

Perioperative blood loss in cardiac surgery: Validation of machine learning-derived clusters.

BackgroundThere is no universally accepted definition of perioperative blood loss in cardiac surgery. Existing methods are based on chest tube output ...

Path forward: Cryoablation for colorectal liver metastases.

PURPOSE: Colorectal liver metastases (CRLM) are a leading cause of mortality in patients with colorectal cancer. While surgical resection is the stand...

Clinical prediction of the mortality for acute kidney injury in decompensated cirrhosis.

Acute kidney injury (AKI) is a severe complication in patients with decompensated cirrhosis, associated with increased mortality. This study aimed to ...

Advanced imaging techniques for tumor intraoperative navigation imaging.

Cancer remains a leading cause of mortality and morbidity, with surgical resection being a fundamental element of treatment. However, early detection ...

Effectiveness of Thoracic Paravertebral Block in Minimally Invasive Vertebroplasty: A Retrospective Cohort Study Focusing on Pain Trajectories and Sagittal Spinal Alignment.

PURPOSE: To evaluate the effectiveness of ultrasound-guided thoracic paravertebral block (TPVB) combined with general anesthesia (GA) versus GA alone ...

Transformer-based deep learning model for real-time prediction of intraoperative hypotension using dynamic time-series vital signs: A retrospective study.

BACKGROUND: The clinical importance of transient intraoperative hypotension (IOH) remains debated, and existing models often rely on high-resolution w...

AI-generated Feedback Following Social Robotic Virtual Patient Interactions and Medical Student Performance: Nonrandomized Quasi-Experimental Study.

BACKGROUND: Virtual patients (VPs) demonstrate effectiveness in improving clinical reasoning skills; however, traditional VP platforms often lack indi...

[Comprehensive diagnosis and treatment of distal biliary strictures: multidisciplinary collaboration and precision surgical strategies].

Distal biliary strictures (DBS) are a common and complex clinical problem in pancreaticobiliary diseases,with etiologies involving multiple factors su...

[Application of multi-parametric vital sign monitoring systems in the integrated management of the perioperative stage of gastric cancer].

The perioperative management of gastric cancer is a crucial factor influencing patient prognosis. The traditional model has limitations such as fragme...

Comparison of Large Language Models with Rules-Based Natural Language Processing Algorithms for Extracting Data from Operative Notes.

BACKGROUND: We aimed to develop automated data extraction pipelines with large language models (LLMs) to extract registry data from total hip arthropl...

Intraventricular hemorrhage in preterm infants: A systematic review of risk- and outcome-prediction models.

Intraventricular hemorrhage (IVH) is a major complication of prematurity and one of the top causes of mortality and neurodevelopmental impairment. We ...

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC).

Postoperative placement of patients into a regular ward, an intermediate-care unit (IMC), or an intensive care unit (ICU) is critical for balancing pa...

Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients.

INTRODUCTION: Postoperative delirium (POD) adversely affects clinical outcomes among older adults undergoing spine surgery. However, existing predicti...

[Correction of refractive errors by subtractive corneal surgery: History and perspectives].

The goal of this review is to trace the history of refractive correction, from the earliest optical devices to modern refractive surgical techniques. ...

[Imaging modalities for corneal neovascularization].

Corneal neovascularization (CNV) is a frequent complication of many ocular surface diseases and represents a major threat to corneal transparency, vis...

Development and validation of an interpretable machine learning model integrating inflammatory blood biomarkers for predicting postoperative breast cancer-related lymphedema: A prospective cohort study.

BACKGROUND: Breast cancer-related lymphedema is a frequent and debilitating complication. Early identification of high-risk individuals is critical, y...