Surgery

[Arterial variations and management strategies in pancreatic surgery].

The pancreas is local in the retroperitoneal space,in close proximity to critical blood vessels such as celiac trunk, superior mesenteric artery, hepatic artery, splenic artery, and gastroduodenal artery. The high incidence of anatomical variations in these arteries significantly increases the complexity of pancreatic surgery. Such variations-particularly aberrant origins of the right hepatic arte...

Corneal nerve regeneration: treatments and monitoring approaches.

BACKGROUND: Diagnostics and therapeutics for corneal nerve pathologies are rapidly evolving, with continual advancements in imaging, laser, machine learning, biologic, and surgical technologies. Recent changes in our understanding of corneal nerve structure and function underscore the need to evaluate diagnostic approaches, including advancements in esthesiometry, in vivo confocal microscopy, and ...

An explainable machine learning framework for computable physiologic risk representation in preanesthetic assessment: Development and external validation.

BACKGROUND: Preanesthetic evaluation requires clinicians to synthesize heterogeneous clinical information, yet perioperative risk communication often ...

[A two-stage model for predicting postoperative pulmonary infection in esophageal cancer patients].

Postoperative pulmonary infection (PPI) after esophageal cancer surgery occurs frequently and severely impairs patients' prognosis. Most existing pred...

[Research on deep learning-based pathological image classification of pilonidal sinus].

Pilonidal sinus disease (PSD) is a suppurative inflammatory condition characterized by a sinus tract in the sacrococcygeal gluteal cleft and surroundi...

Advancing the Science of Surgical Education: Reflections From the 2025 University of Melbourne Department of Surgery Research Showcase.

BACKGROUND: The 2025 University of Melbourne Department of Surgery Research Showcase, held on 18 November 2025, brought together surgeons, researchers...

The Unseen Aneurysm: Can Artificial Intelligence Bridge the Diagnostic Gap in Angiogram-Negative Subarachnoid Hemorrhage?

Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging.

PURPOSE: Prostate cancer (PCa) is the second most common cancer and cause of cancer deaths among American men. Existing risk prediction methods have l...

Delta radiomics for predicting early radiation-induced lung injury after thoracic radiotherapy: a retrospective paired-CT study.

PURPOSE: Early radiation-induced lung injury remains a clinically relevant complication after thoracic radiotherapy. We compared pretreatment, posttre...

Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones.

PURPOSE: To develop and validate machine learning models for predicting systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithot...

Artificial intelligence in the prediction of intraoperative red blood cell transfusion in cardiac surgery: a systematic review and diagnostic test accuracy meta-analysis.

BACKGROUND: Red Blood Cell (RBC) transfusion in cardiac surgery is associated with risks. Conventional prediction scores lack accuracy, conflicting wi...

Value operating system: a practical framework to measure outcomes-per-cost at the episode level.

OBJECTIVE: To specify a value operating system (VOS) and its executable metric-the Value Index (VI)-that expresses risk-adjusted outcomes-per-episode-...

Prediction of cardiac arrest in patients with heart failure in Sweden: a registry study with development of a machine learning model.

OBJECTIVE: 30-day survival after cardiac arrest is low, 12.4% and 36% for out-of-hospital and in-hospital cardiac arrest, respectively. Heart failure ...

Dynamic gut microbiota shift in chronic liver disease progression: machine learning models and the E/Er ratio as a predictive biomarker.

BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompensated cirrhosis (DC), and acute-on-chronic liver fa...

Predicting Risk Factors of Pressure Injury for Perioperative Patients Through Machine Learning With SHapley Additive exPlanations Based on Hospital Information System.

OBJECTIVE: Perioperative pressure injuries (PIs) are a common complication of surgical hospitalization that can lead to serious health problems, compr...

A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional study.

OBJECTIVES: Precise perioperative risk stratification for upper tract urothelial carcinoma (UTUC) is essential. We developed a multimodal prognostic m...

Artificial Intelligence, Cognitive Aging, and the Late-Career Surgeon: A Narrative Review.

BackgroundThe surgical workforce in the United States is aging while artificial intelligence (AI) tools are increasingly integrated into clinical prac...

Correlation between SHR and 28-day all-cause mortality risk in patients with spontaneous intracerebral hemorrhage.

BACKGROUND: The stress hyperglycemia ratio (SHR) has recently been suggested as a dependable indication for predicting adverse outcomes in critically ...

Cardiac substructure dosimetry in thoracic radiotherapy: moving beyond mean heart dose and toward precision cardiac risk mitigation.

BACKGROUND: Radiation-induced heart disease (RIHD) remains a clinically significant consequence of thoracic radiotherapy (RT). Historically, the mean ...

Longitudinal Biomarker Trajectories for EVD-Associated Infection Prediction: A Trajectory-Based Machine Learning Framework with Biological Onset Characterization.

BACKGROUND: EVD-associated infection occurs in 1-40% of patients with indwelling external ventricular drains. Assessing cerebrospinal fluid (CSF) para...