Surgery

Generative artificial intelligence for surgical site infection surveillance.

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive....

Scientific Accuracy of Large Language Models in Tilted Implant Dentistry: A Guideline-Based Comparative Evaluation.

Tilted dental implant systems are widely used in the rehabilitation of anatomically compromised jaws...

Understanding Perceived Forehead Changes Post-Endoscopic Brow Lift: The Impact of Frontalis Muscle Contraction.

BACKGROUND: Endoscopic brow lift surgery is increasingly performed, yet there are concerns about pot...

Therapeutic ultrasound in ophthalmology: a comprehensive review.

BACKGROUND: Therapeutic ultrasound has emerged as a promising noninvasive or minimally invasive moda...

Artificial Intelligence-assisted Periapical Radiographic Assessment: Lesion Detection, Endodontic Complication Analysis, and Review of Clinical Treatment Recommendations.

INTRODUCTION: Artificial intelligence (AI) systems are increasingly used in dental radiology to supp...

Artificial Intelligence In The Diagnosis And Prediction Of Breast Cancer-Related Lymphedema: A Scoping Review.

INTRODUCTION: Lymphedema is a chronic complication of breast cancer treatments that can significantl...

Hybrid supervised deep learning for lung adenocarcinoma diagnosis to optimize surgical strategies.

Intraoperative frozen section pathological diagnosis of lung adenocarcinoma serves as the gold stand...

Design of a soft robotic endoscope with enhanced bending and AI-based prediction.

Minimally invasive surgery (MIS) increasingly benefits from soft robotic platforms that offer enhanc...

Cerebral Vasospasm Detection and Delayed Cerebral Ischemia Prediction after Aneurysmal Subarachnoid Hemorrhage: A Scoping Review.

BACKGROUND/OBJECTIVE: Aneurysmal subarachnoid hemorrhage (aSAH) is complicated by angiographic cereb...

Prospective biopsy-controlled validation of an AI model for predicting glioblastoma infiltration: Results from the SupraGlio trial.

BACKGROUND: Glioblastoma recurrence is driven by diffuse microscopic infiltration beyond the contras...

Development and Validation of a Machine Learning Model for Predicting Postoperative Delirium in Elderly Patients with Hip Fracture: A Retrospective Cohort Study.

Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, ...

Path planning for volumetric flask grasping based on visual guidance and multi-constraint optimization.

In the automated operation of the chemical laboratory, using a robotic arm to pick up volumetric fla...

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy.

OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal...

Accuracy assessment of an artificial intelligence model in predicting intraoperative bone resection parameters for robotic-assisted total knee arthroplasty.

Artificial Intelligence in Surgical Education: A Pilot Study Using ASCRS Guideline-Derived Questions.

BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical and s...

Cross-sectional validation of a preoperative multidimensional assessment tool for third molar extraction using machine learning.

BACKGROUND: This study aimed to assess the correlation between a preoperative difficulty assessment ...

The Year in Perioperative Echocardiography:Selected Highlights From 2025.

This article is the 10th of an annual series reviewing the research highlights of the year pertainin...

TransUNet for automated segmentation of intracranial aneurysms in digital subtraction angiography: A dual-center validation study.

PURPOSE: This study systematically evaluated five deep learning models to validate their consistency...

Natural Language Processing for Surgical Quality Enhancement.

INTRODUCTION: Unstructured clinical data, including operative reports and progress notes, contain cr...

Development and Validation of Machine Learning Models to Identify Emergency Department Patients at Increased Risk of New or Progressive Acute Kidney Injury.

OBJECTIVES: Acute kidney injury (AKI) is a common and serious condition associated with prolonged ho...

An AI framework for automated quality control of paraffin block and slide consistency: a clinical evaluation and human-machine comparison study.

Consistency between paraffin blocks and corresponding histological slides is a key component of path...