Surgery

Personalized predictive hemodynamic management for major oncologic surgery: effect of progressive implementation of monitoring of digital medical devices with artificial intelligence-based algorithms.

BACKGROUND: Avoiding intraoperative hypotension and maintaining an adequate cardiac output (CO) duri...

Transforming surgical planning and procedures through the synergistic use of additive manufacturing, advanced materials and artificial intelligence: challenges and opportunities.

Additive manufacturing (AM) is a powerful approach in healthcare to augment the functionalities of p...

Advances in intraoperative imaging technologies for complex biliary disease.

Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improv...

Machine-Learning Prediction of Bleeding After Endoscopic Submucosal Dissection for Early Gastric Cancer: A Multicenter Study.

BACKGROUND: Endoscopic submucosal dissection (ESD) is a minimally invasive treatment for early gastr...

Catheter detection and segmentation in X-ray images via multi-task learning.

PURPOSE: Automated detection and segmentation of surgical devices, such as catheters or wires, in X-...

Artificial Intelligence-Based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study.

BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, su...

3D Auto-segmentation of pancreas cancer and surrounding anatomical structures for surgical planning.

BACKGROUND: This multicenter study aimed to develop a deep learning-based autosegmentation model for...

Clinical Outcomes and Overall Satisfaction of Patents Enrolled in an Artificial Intelligence-Powered Chatbot Following Periacetabular Osteotomy.

BACKGROUND: The role of technology in the perioperative care of patients continues to grow. A surgeo...

A machine learning model integrating clinical-radiomics-deep learning features accurately predicts postoperative recurrence and metastasis of primary gastrointestinal stromal tumors.

OBJECTIVES: Post-surgical prediction of recurrence or metastasis for primary gastrointestinal stroma...

Predictive modeling for early detection of refractory esophageal stricture following esophageal atresia surgery: insight from a machine learning study.

BACKGROUND: Refractory esophageal stricture (RES) presents a challenging complication after esophage...

Exploring the Development and Future Directions of Facial Bone Contouring: A Bibliometric and Visualization Analysis From 2005 to 2025.

The study aims to evaluate the global research landscape of facial bone contouring to identify curre...

Impact of Artificial Intelligence on the Timing of Recurrent Laryngeal Nerve Recognition during Robot-Assisted Minimally Invasive Esophagectomy.

BACKGROUND: As a first step to prevent recurrent laryngeal nerve (RLN) palsy, we have developed an a...

Non-conventional diagnostic tools for lower urinary tract symptoms and bladder outlet obstruction in men: a perspective review.

Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BO...

Dual-task meta-auxiliary learning in laparoscopic cholecystectomy.

PURPOSE: Artificial intelligence is transforming surgical practices by improving procedural quality ...

Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions.

Artificial intelligence (AI) drives transformative changes in orthopedic surgery, steering it toward...

Corrigendum to "SHapley Additive exPlanations (SHAP)-based, multivariate machine-learning techniques with external validation: Construction of a preoperative interpretable predictive model for intestinal resection of incarcerated inguinal hernia" [Surgery 184 (2025) 109406].

Risk Classification of Low-Resolution Whole-Slide Thumbnail Images by Multi-dimensional Feature Reconstruction with Multi-task Deep Learning Network Helps Prioritize Pathology Case Registration.

Contemporary surgical pathology workflows often prioritize slide examination based on case registry ...

Novel Application of Connectomics to the Surgical Management of Pediatric Arteriovenous Malformations.

Introduction The emergence of connectomics in neurosurgery has allowed for construction of detailed ...

Impact of mHealth on Postoperative Quality of Life, Self-Management, and Dysfunction in Patients With Oral and Maxillofacial Tumors: Nonrandomized Controlled Trial.

BACKGROUND: With a focus on postoperative dysfunctions that may occur after maxillofacial tumor rese...

Safety of nonselective nonsteroidal anti-inflammatory drugs in cardiac surgery: a historical cohort study.

PURPOSE: Pain management after cardiac surgery is imperative, as inadequate analgesia can increase t...

A Comparative Analysis of the Accuracy and Readability of Popular Artificial Intelligence-Chat Bots for Inguinal Hernia Management.

BackgroundArtificial intelligence (AI), particularly large language models (LLMs), has gained attent...