Surgery

Impact of middle meningeal artery embolization on neurological complications and discharge outcomes in chronic subdural hematoma: A machine learning-based comparative study.

INTRODUCTION: Chronic subdural hematoma (cSDH) predominantly affects older adults, often those with prior head trauma, anticoagulation therapy, or chronic comorbidities. Traditional management involves surgical evacuation; however, middle meningeal artery (MMA) embolization has emerged as a less invasive alternative with the potential for fewer complications. This study compares outcomes of surgic...

Preoperative hypoalbuminemia predicts early complications, mortality, and discharge disposition following surgical resection of spinal metastases: a nationwide study.

PURPOSE: Patients undergoing surgery for spinal metastases often have limited physiologic reserve. Although hypoalbuminemia is a recognized risk marker, its graded association with short-term postoperative outcomes and discharge disposition has not been well defined in large national cohorts. We evaluated the relationship between preoperative serum albumin and early postoperative outcomes followin...

Predicting orchiectomy in testicular torsion using hybrid machine learning and explainable AI: a web-based clinical decision support system.

OBJECTIVE: To develop a high-accuracy prediction model using hybrid machine learning (ML) and explainable artificial intelligence (XAI) techniques for...

Rehabilitation Protocols Following Patellar Instability Surgery: A Structured Review of Published Recommendations and AI Generated Guidance.

PURPOSE OF REVIEW: To review postoperative rehabilitation protocols after surgery for patellar instability, including medial patellofemoral ligament r...

Exploring the gut-lung axis in post-liver transplant acute lung injury: A multi-omics approach.

Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with mounting evidence suggesting a role for the gut-lu...

Psychological and sociocultural patterns of cosmetic-procedure consideration: A machine-learning approach.

Cosmetic-procedure consideration is associated with a spectrum of psychological and sociocultural factors. However, traditional linear models are typi...

Can Artificial Intelligence Replicate Human Qualitative Analysis?

INTRODUCTION: Qualitative research is essential in surgical education for exploring complex social phenomena. However, thematic analysis is time-inten...

The atlas of abdominal organ remodeling in hepatocellular carcinoma patients: An artificial intelligence-based multicenter imaging study.

BACKGROUND: Morphological changes of abdominal organs in hepatocellular carcinoma (HCC) remain uncharacterized. This study aimed to automatically quan...

Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.

BACKGROUND: Artificial intelligence (AI) is increasingly utilized in surgical care for decision support, operative planning, intraoperative guidance, ...

Concordance-Based Validation of Electronic Health Records and Modality Log Files to Improve MRI Exam Duration Prediction and Scheduling Performance.

Integrating multi-source healthcare data for predictive modeling requires rigorous data quality validation, yet concordance between data systems is ra...

Can AI applied on MRI reliably predict shunt response in INPH? A comprehensive exploration of deep learning and radiomics approaches using preoperative MRI.

OBJECTIVE: Idiopathic normal pressure hydrocephalus (INPH) is a treatable neurological condition, yet predicting which patients will benefit from a ce...

Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort.

OBJECTIVE: To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clin...

A proof-of-concept study of surgical-VLM for surgical support in robotic surgery: contextual benchmarking against ChatGPT-5.

BACKGROUND: Artificial intelligence (AI) has rapidly advanced in surgical applications. However, existing single-modality AI models relying solely on ...

Integrated CT-PET radiogenomics and graph-based multi-task learning for preoperative prediction of key glioma molecular markers.

BACKGROUND: The clinical management of glioma is increasingly dependent on the tumor's molecular profile, particularly the mutation status of Isocitra...

A simple morphometric algorithm based on nuclear atypia features of invasive breast carcinoma: relationship with nuclear grade, Ki-67 level, and hormone receptor status.

Background With the widespread availability of whole-slide imaging, many studies have utilized digital images of hematoxylin and eosin (H&E)-stained b...

Emerging Applications of Artificial Intelligence in Pediatric Care.

Artificial intelligence (AI) technologies such as machine learning (ML), deep learning (DL), predictive analytics and other tools are rapidly changing...

Technology-assisted visceral surgery: a model-based approach for quantifying translation and accessibility across populations and geographies.

INTRODUCTION: Technological innovation is rapidly transforming surgical care, yet disparities in access and adoption persist. This study introduces a ...

Use of contrast-enhanced mammography for preoperative prediction of lymphovascular invasion status in invasive breast cancer.

BACKGROUND: To investigate the use of contrast-enhanced mammography (CEM) for preoperative prediction of lymphovascular invasion (LVI) status in invas...

[18F] PSMA-3Q PET/CT radiomics at 45% SUVmax threshold: predicting post-surgical ISUP grade ≥ 4 and extraprostatic extension for noninvasive stratification in prostate cancer management.

OBJECTIVE: To systematically evaluate radiomic features extracted from [18F] PSMA-3Q PET/CT using 40%, 45%, and 50% SUVmax thresholds for their abilit...

Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis.

BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer ...