Surgery

An Assessment of ChatGPT Responses to Common Postoperative Rhinoplasty Questions.

Rhinoplasty is a commonly performed aesthetic and functional procedure, and patients frequently seek postoperative information beyond routine follow-up visits. With the increasing use of artificial intelligence-based tools for health-related information, ChatGPT has emerged as a widely accessed conversational platform; however, evidence regarding the quality, reliability, and clinical appropriaten...

Beyond gross total resection (GTR): Deep peritumoral radiomics for predicting overall survival (OS) and O6-methylguanine-DNA-methyltransferase promoter methylation (MGMTpm) status in glioblastoma multiforme.

BACKGROUND & OBJECTIVE: Glioblastoma Multiforme (GBM) is an aggressive and highly heterogeneous brain tumor with poor survival outcomes. While conventional radiomic analyses focus on tumor-centric regions, emerging surgical strategies, such as GTR and supratotal resection (SupTR), highlight the importance of the peritumoral zone. Moreover, due to intratumoral heterogeneity, MGMTpm, a key molecular...

Prediction of venous thromboembolism after spontaneous intracerebral hemorrhage based on machine learning.

Patients with intracerebral hemorrhage (ICH) are at high risk of venous thromboembolism (VTE). Current risk assessment tools are limited and not tailo...

Barrier check study: why predictive machine learning struggles to reach the operating room.

OBJECTIVES: Machine learning (ML) has the potential to enhance surgical decision-making through real-time risk prediction and personalised care yet cl...

A multi-source heterogeneous massive operation and maintenance data collection method for substations based on cloud-edge collaboration and artificial intelligence.

Real-time collection of operation and maintenance data enables timely identification and resolution of potential faults, thereby ensuring the safe and...

Development and validation of an explainable machine learning model for predicting surgical intervention in pediatric intestinal obstruction.

Pediatric intestinal obstruction, a critical acute abdomen condition, carries a risk of intestinal necrosis. Decisions for urgent surgery lack standar...

Artificial Intelligence in Breast Reconstruction: A Scoping Review of Pre-, Intra-, and Postoperative Applications.

BACKGROUND: Artificial intelligence (AI) has become increasingly integrated into breast reconstruction, transforming preoperative planning, intraopera...

Automated robotic arm system for real-time multi-parameter quality assessment of raw milk in cheese manufacturing.

Ensuring the quality of raw milk is critical for consistent cheese manufacturing, yet traditional laboratory-based testing methods are slow, labor-int...

Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning-a proof-of-concept study.

BACKGROUND: Individuals with prediabetes face an increased risk of cardiovascular (CV) complications, which can ultimately lead to premature mortality...

Machine-Learning-Based Predictive Model for Trifecta Achievement in Robot-Assisted Partial Nephrectomy.

OBJECTIVE: To develop and internally validate a machine-learning-based nomogram for predicting trifecta achievement in patients undergoing robot-assis...

Evaluating Retrieval-Augmented Generation for Guideline-Grounded Textual Planning in Implant Dentistry: A Comparative Study.

OBJECTIVES: To evaluate whether a retrieval-augmented generation (RAG) framework can enhance citation precision and improve the clinical reliability o...

Performance evaluation of an EEG-guided robotic glove with machine learning models for hand rehabilitation in injured athletes.

BackgroundAssistive rehabilitation technologies play a crucial role in improving motor recovery for individuals with hand injuries particularly athlet...

Artificial intelligence-based decision support in simulated free flap Re-exploration for head and neck reconstruction. A case-based comparative study.

Free flap compromise after head and neck reconstruction requires rapid recognition and structured escalation. Large language models have shown potenti...

Intraoperative neurophysiological monitoring (IONM) in neurosurgery: A critical appraisal of established practices, ongoing controversies, and future trajectories.

Intraoperative neurophysiological monitoring (IONM) has evolved from a novel technique into an evidence-based standard treatment method for high-risk ...

Machine Learning for Revision Joint Arthroplasty: A Systematic Review of Distinct Challenges, Current Performance, and Clinical Readiness.

BACKGROUND: Given the high complication rates and economic burden of revision total joint arthroplasty, machine learning (ML) models may offer a tool ...

Early Risk Stratification for Mechanical Ventilation in Acute Ischemic Stroke: Development and Validation of a Simplified Clinical Score.

Background and PurposeMechanical ventilation (MV) occurs in a substantial subset of acute ischemic stroke (AIS) hospitalizations and is associated wit...

Prediction Model for Delirium in Patients with Sepsis-Associated Liver Injury: An Interpretable Machine Learning Approach.

BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurolog...

Hidden Preoperative Lower-Extremity Venous Thrombosis in Pelvic Organ Prolapse Surgery: Prevalence and Development of a Clinical Prediction Model.

INTRODUCTION AND HYPOTHESIS: Preoperative lower-extremity venous thrombosis (LEVT) is frequently overlooked in women undergoing pelvic organ prolapse ...

Coronary stenosis assessment: AI-based CT quantification, visual analysis of invasive angiography, and quantitative coronary angiography.

OBJECTIVE: To evaluate the diagnostic performance for coronary stenosis of artificial intelligence (AI)-based CT quantification, manual CT quantificat...

Indicators for predicting continuous insulin infusion therapy-related hypokalemia: multicenter retrospective cohort study.

Hypokalemia is a common and potentially life-threatening complication of continuous intravenous insulin infusion (CII) in patients with hyperglycemic ...