Surgery

Optical Navigation Robot-Assisted versus Conventional CT-Guided Localization of Pulmonary Nodules: A Comparison of Efficacy and Analysis of Complication Predictors.

PURPOSE: To compare the efficacy and safety of optical navigation robot-assisted versus conventional CT-guided preoperative localization of pulmonary nodules and to identify predictors of procedure-related pneumothorax and pulmonary hemorrhage. MATERIALS AND METHODS: In this retrospective study, 108 patients scheduled for video-assisted thoracoscopic surgery underwent preoperative CT-guided hook-w...

An AI-powered diagnostic system for grading and invasion of non-muscle-invasive bladder cancer via TURBT specimens: A multicenter study.

Early pathological examination for grading and invasion of non-muscle-invasive bladder cancer (NMIBC) via transurethral resection of bladder tumor (TURBT) specimens is a labor-intensive, subjective, and experience-dependent task, while the poor quality of TURBT specimens and the high heterogeneity of NMIBC tumors further limit diagnostic accuracy and efficiency. This study proposed a dual-channel ...

A multimodal deep learning classifier for prediction of HER2-low expression in triple-negative breast cancer.

BACKGROUND: Triple-negative breast cancer (TNBC) is an aggressive molecular subtype. With the new definition of HER2-low status and the availability o...

Improving Delirium Prediction in Surgery: Enhanced Machine Learning Models vs. Traditional Risk Scores.

BACKGROUND: Postoperative delirium (POD) is a prevalent complication among older surgical patients; however, accurately predicting its occurrence usin...

Head and Neck Free Flap Reconstruction: Current Landscape and Emerging Technologies.

OBJECTIVE: To synthesize contemporary developments in head and neck oncologic free flap reconstruction, with emphasis on perioperative physiologic opt...

A multicenter study on the prediction model for chronic low back pain after lumbar decompression surgery in patients with diabetes mellitus: integration of metabolic and paraspinal muscle features.

OBJECTIVE: Based on multicenter clinical data, this study aimed to develop and validate a predictive model for chronic low back pain (CLBP) after lumb...

Interpretable machine learning model of contrast-enhanced CT radiomics for predicting post-BCG recurrence in high-grade non-muscle-invasive bladder cancer.

BACKGROUND AND PURPOSE: While intravesical Bacillus Calmette-Guérin Vaccine (BCG) instillation remains standard adjuvant therapy for high-grade non-mu...

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findings.

OBJECTIVES: Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room (OR) resources and affe...

Feasibility of CBCT-based deep learning for predicting 3D soft tissue changes after orthognathic surgery in skeletal class III patients.

This study aimed to evaluate the feasibility of a cone-beam computed tomography (CBCT)-based deep learning (DL) model for predicting three-dimensional...

Multisequence MRI and clinical data-based deep learning radiomics model for predicting adjacent segment degeneration post-lumbar fusion: a retrospective multicenter study.

BACKGROUND: While adjacent segment degeneration (ASDeg) is a major complication following lumbar fusion, objective tools for preoperative risk predict...

Machine learning prediction of postoperative pulmonary infection in patients who underwent thoracoscopic lung cancer resection: a retrospective case-control study.

BACKGROUND: Accurate identification of patients at high risk of pulmonary infection after thoracoscopic lung cancer resection is important for timely ...

Multimodal artificial intelligence for predicting postoperative cesarean scar diverticulum risk.

OBJECTIVES: To develop an artificial intelligence (AI) model to predict cesarean scar diverticulum (CSD) risk following cesarean scar pregnancy (CSP) ...

Machine learning prediction of increased healthcare utilization in colectomy for inflammatory bowel disease.

PURPOSE: Healthcare spending for patients with inflammatory bowel disease (IBD) has steadily increased over the past few decades. While some of the in...

Evaluating the Accuracy of ChatGPT-4o in Addressing Complex Clinical Questions Based on NCCN Guidelines for Rectal Adenocarcinoma.

INTRODUCTION: The management of rectal adenocarcinoma requires navigation of complex, branching guideline pathways encompassing neoadjuvant sequencing...

Automated whale shark recognition and tracking using drones and deep learning.

Whale sharks (Rhincodon typus) are migratory species known to form temporary coastal aggregations in regions of high plankton density, such as Bahía d...

Scoping review: artificial intelligence in patient education for scoliosis.

BACKGROUND: Scoliosis is a prominent and disabling spinal deformity often presenting in adolescence, causing pain and movement dysfunction. Treatment ...

Intraoperative technological advances and new frontiers in precision glioma surgery.

BACKGROUND: Diffuse gliomas remain among the most surgically challenging tumors, characterized by their infiltrative nature, proximity to eloquent bra...

Perceptions on artificial intelligence among anaesthesia and intensive care professionals: An international survey on attitudes, expectations and needs.

Background Artificial intelligence (AI) can enhance diagnostics, treatment, and workflow efficiency. However, successful integration into clinical pra...

Interpretable deep learning to predict one year glycemic control in type 1 diabetes using real world data.

Type 1 diabetes (T1D) involves long-term health risks and challenges in individualizing therapeutic strategies. Meeting glycemic targets is a reliable...

AI-powered risk factor analysis and development of a predictive model for lymphovascular invasion in bladder urothelial carcinoma.

Although lymphovascular invasion is a major predictor of bladder urothelial carcinoma, postoperative pathological biopsy-an intrusive procedure-remain...