Surgery

Multimodal fusion-based prediction of postoperative survival in gallbladder adenocarcinoma: Model development and validation.

Accurate prognostic models are essential for optimizing treatment strategies in gallbladder adenocarcinoma (GBAC). We preliminarily constructed and validated a multimodal fusion model integrating clinical features, enhanced computed tomographic (CT) images, and digital histopathological images to predict postoperative survival. Data from 177 patients with GBAC who underwent surgery between January...

Machine learning-driven automated evaluation of surgical skills during laparoscopic distal gastrectomy based on blood pixel analysis.

BACKGROUND: In laparoscopic distal gastrectomy (LDG), intraoperative bleeding directly reflects surgical proficiency, including tissue handling and hemostasis. Conventional assessments of surgical skills, such as global operative assessment of laparoscopic skills, are subjective and time-consuming. Bleeding events can serve as an objective indicator for automated skill evaluation in this procedure...

Fusion prediction model for post-ERCP pancreatitis under NSAIDs prophylaxis.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is a common procedure for treating biliary and pancreatic disorders; however, it is ...

Artificial Intelligence in Total Hip and Knee Arthroplasty: A Primer on Current Applications, Algorithms, and Future Directions.

» Artificial intelligence (AI) is increasingly integrated across the total hip and knee arthroplasty care continuum, including preoperative risk strat...

Custom and Off-the-Shelf Large Language Models Routinely Misinterpret Implant Technique Guides: Too Soon to Substitute Medical Device Representatives with Generative Artificial Intelligence.

BACKGROUND: Large language models (LLMs) are used for clinical information retrieval, yet their performance on highly domain-specific documents such a...

MICLEAR: Intelligent molecular cytology for intraoperative margin assessment of pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly mortal cancer whose only potentially curative treatment is surgical resection. Intraoperative asse...

An interpretable radiomics-machine learning model for early risk stratification of invasive fungal infections in community-acquired pneumonia: a dual-center study.

To develop and validate an interpretable HRCT radiomics-based machine learning model for early risk stratification and identification of invasive fung...

Construct validation of a portable virtual reality simulator for [Formula: see text] laparoscopic camera navigation via machine learning and latent behavioral modeling.

Dedicated training for [Formula: see text] laparoscopic camera navigation remains limited by the cost of high-fidelity simulators and the absence of c...

Can an Artificial Intelligence Application Raise Awareness of Dislocation Risk After Total Hip Arthroplasty?

BACKGROUND: Dislocation after total hip arthroplasty (THA) is a devastating complication. The hip-spine relationship is a significant contributor to h...

A qualitative interview study of acute care surgeons' approach to literature acquisition: Are you up to date on staying up to date?

INTRODUCTION: Acute Care Surgery (ACS) surgeons care for a wide variety of life-threatening surgical conditions and have a high burden of night and we...

Electroencephalogram-based Objective Assessment of Surgical Expertise during Microvascular Anastomosis Training.

Electroencephalogram-based objective assessment of surgical skill remains underexplored in neurosurgical training. We investigated whether electroence...

Interpretable machine learning models for predicting perioperative myocardial injury in non-cardiac surgery.

AIMS: Perioperative myocardial injury (PMI) is a frequent and often asymptomatic complication after non-cardiac surgery and is associated with increas...

Nationwide 30-Day Surgical Outcomes in Korea: An Interim Analysis of the Korean Quality Improvement Platform in Surgery.

BACKGROUND: National surgical registries such as the American College of Surgeons NSQIP and Japan's National Clinical Database have shown that structu...

A weakly supervised deep learning-based recurrence prediction and risk stratification of lung adenocarcinoma from pathology whole-slide images.

BACKGROUND: Accurate prediction of postoperative recurrence in lung adenocarcinoma (LUAD) is essential for guiding clinical decision-making and improv...

Bridging the outcome documentation gap in epilepsy surgery: Validating large language model agents for automated Engel and International League Against Epilepsy scoring from clinical notes.

OBJECTIVE: Timely and accurate classification of postepilepsy surgery outcomes using Engel and International League Against Epilepsy (ILAE) scales is ...

Fully automated three-dimensional deep learning-based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery.

OBJECTIVE: There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, m...

A System in Motion: The Evolution of Orthopaedic Care in Romania.

➢ Romanian orthopaedic practice has demonstrated a growing uptake of digital infrastructure, including the implementation of robotic-assisted surgical...

Knowledge-Augmented Large Language Model for Multimodal Electronic Health Record-Based Risk Prediction: Development and Validation Study.

BACKGROUND: Accurate clinical outcome prediction using electronic health records (EHRs) is crucial for patient care and resource allocation. EHRs incl...

New Frontiers of Skin Ultrasound in Precision Medicine.

Ultrasound has emerged as a versatile, non-invasive imaging technique in dermatology, offering real-time, high-resolution visualization of cutaneous s...

Accurate surgery time prediction (ASTP) strategy based on artificial intelligence techniques.

Accurate timing prediction of surgery is essential for efficient operating room scheduling and ensuring patient care. This study proposes a two-layere...