Surgery

Integrative Genomic and Clinical Profiling of Colorectal Cancer Liver Metastases to Guide Personalized Surgery and Liver Transplantation.

BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related mortality. Although hepatic resection is the only established curative option, recurrence exceeds 60%, underscoring substantial biologic heterogeneity. Liver transplantation (LT) has re-emerged for highly selected patients with unresectable CRLM, but optimal biologic selection criteria remain undefin...

An Emergency-deployable Albumin-enhanced NLR Derived by Machine Learning Improves Risk Stratification in Lung Cancer: A Multicenter Cohort Study.

BACKGROUND/AIM: Systemic inflammation is tightly linked to lung cancer prognosis, yet widely used blood-based indices show only modest discrimination. We aimed to develop a simple, albumin-enhanced inflammatory index to improve risk stratification. PATIENTS AND METHODS: Using the Investigation on Nutrition Status and Clinical Outcome of Common Cancer database, 1,576 patients with lung cancer with ...

AI-powered real-time detection and classification of peritoneal nodules in colorectal cancer using multi-center laparoscopic data: A feasibility study.

OBJECTIVE: To explore the feasibility of developing an intraoperative real-time detection model for peritoneal nodules in laparoscopic colorectal canc...

In-hospital mortality among patients with congenital heart disease undergoing noncardiac procedures: machine learning analysis of a multicentre study.

BACKGROUND: Improved survival for children with congenital heart disease (CHD) has resulted in an increasing number presenting for noncardiac procedur...

A single-source preoperative prediction model for recurrent lumbar disc herniation after primary discectomy: Development and internal validation in the SPORT registry.

BACKGROUND: Recurrent lumbar disc herniation (rLDH) follows primary discectomy in 5% to 25% of patients. Existing models often embed postoperative var...

Automatic imitation towards robots is not influenced by the intentional stance.

Automatic imitation refers to the unconscious tendency to copy observed actions, a phenomenon that is robustly weaker when observing robots compared t...

Autonomous robotic execution of nonlinear toolpaths for geometry-matched osteotomy in tooth autotransplantation: an in vitro study.

Tooth autotransplantation requires recipient socket preparation that matches donor root morphology while preserving surrounding bone. We developed an ...

Machine learning-based prediction of ICU admission and mortality in Crimean-Congo hemorrhagic fever by using wide-range targeted metabolomics.

PURPOSE: This study aimed to evaluate the potential of amino-acid profiles to predict disease progression in patients with Crimean-Congo Hemorrhagic F...

Comparative machine learning approaches to prognosticate clinical outcomes in oral and maxillofacial space infections: a retrospective analysis.

BACKGROUND: The objective of this study was to evaluate the performance of multiple machine learning algorithms to provide evidence supporting early i...

Radiomics-based causal machine learning for exploratory treatment-effect estimation of neoadjuvant chemotherapy cycle intensity in osteosarcoma: a proof-of-concept study.

BACKGROUND: Radiomics-based modeling has shown promise for characterizing tumor heterogeneity, but its integration with causal machine learning for tr...

Comment on "an interpretable machine learning tool for predicting perioperative cardiac events in patients scheduled for hip fracture surgery: insights from the multicenter LUSHIP study".

Risk prediction of sepsis-associated acute kidney injury: development, validation of a machine learning model with multicenter data.

BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in intensive care unit (ICU) patients, with high incide...

The evolution of ultrasound in sarcopenia assessment: Global trends, technological shifts, and clinical frontiers.

BackgroundSarcopenia is a progressive skeletal muscle disorder associated with increased disability, morbidity, and mortality. Ultrasound has gained i...

The Ambulatory Surgery Center Paradox: Why 60% of Surgeries Occur Where 2% of AI Research Happens.

BACKGROUND: Ambulatory surgery centers now perform more than 60% of the 60 million elective surgical procedures in the United States, yet artificial i...

Technologies and management strategies for improving operational efficiency in operating theatres: A scoping review.

OBJECTIVE: To map strategies, technologies and management practices reported in the literature that contribute to improving operational efficiency in ...

Approaches to transcatheter aortic valve replacement failure: is more focus on prevention required?

INTRODUCTION: Transcatheter aortic valve replacement (TAVR) has transformed the management of severe aortic stenosis across all surgical risk strata. ...

Preoperative CT-based radiomics of suprapancreatic adipose tissue for predicting high-difficulty lymph node dissection in gastric cancer.

PURPOSE: Preoperative assessment of lymph node dissection (LND) difficulty in gastric cancer remains challenging. Conventional clinical indicators are...

Multidisciplinary tumor board decisions and artificial intelligence-generated recommendations in general surgery: a retrospective observational study.

Artificial intelligence (AI)-based decision support systems are increasingly explored in surgical oncology. However, their concordance with multidisci...

Generative Artificial Intelligence and 3D Printing in Craniomaxillofacial Deformities: A Narrative Review of Emerging Synergies.

Craniomaxillofacial deformities are primarily caused by congenital anomalies, trauma, or postoperative defects following tumor resection, involving bo...

Molecular mechanisms of erectile dysfunction in type 1 and type 2 diabetic rats: a multiomics approach.

Erectile dysfunction (ED) is a prevalent complication of both type 1 and type 2 diabetes mellitus (DM), but the shared molecular mechanisms underlying...