Surgery

Visualization analysis of research hotspots and trends in Type B Aortic Dissection based on bibliometrics.

PURPOSE: This study aims to systematically map and analyze the knowledge structure, research hotspots, and evolutionary trends in the field of Type B Aortic Dissection (TBAD) using bibliometric methods. PATIENTS AND METHODS: CiteSpace and VOSviewer were employed to conduct quantitative and visual analyses across multiple dimensions, including publication trends, collaboration networks among countr...

Spatiotemporal single-cell atlas of suture stem cell dynamics in craniosynostosis.

BACKGROUND: Craniosynostosis is a congenital disorder characterized by premature suture fusion and aberrant skull morphogenesis. The cellular dynamics and regulatory mechanisms of suture mesenchymal stem cells (SuSCs) in this disease remain poorly defined. METHODS: We integrated single-cell RNA sequencing and 2-μm-resolution Visium HD spatial transcriptomics to build a spatiotemporal atlas of coro...

What Are the Odds? Utilization of Artificial Intelligence to Predict Success in the Integrated Plastic Surgery Match.

OBJECTIVE: Despite widespread consensus that quantifiable application characteristics impact match success, no prospective predictive algorithm has be...

GPT-5-assisted versus expert surgeon refractive planning in smooth incision lenticule keratomileusis (SILK): comparative analysis and visual outcomes.

PURPOSE: To assess the performance of GPT-5 in refractive surgery planning by comparing its recommendations with expert surgeons and reporting visual ...

Fusion attention-based nasopharyngeal carcinoma segmentation model in predicting the clinical outcome of cervical lymph node residue after IMRT.

BACKGROUND: Deep learning methods have made great progress in the automatic segmentation of nasopharyngeal carcinoma, but challenges remain. PURPOSE: ...

Predicting postoperative delayed awakening after flexible ureteroscopic lithotripsy based on radiomic features of body composition.

We aimed to explore the predictive role of radiomic features of body compositions in the occurrence of delayed awakening after flexible ureteroscopic ...

Interpretable LightGBM model for predicting postoperative gastrointestinal hemorrhage in elderly hip fracture patients: leveraging systemic inflammation and medication exposures for personalized risk stratification.

BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fracture surgery in older adults, yet perioperative risk ...

Identification of MMP14 and FOS as key regulators of vascular smooth muscle cell senescence in diabetic kidney disease: A combined bioinformatics and experimental study.

OBJECTIVE: Diabetic kidney disease (DKD) is a leading microvascular complication of diabetes in which vascular smooth muscle cell (VSMC) senescence pl...

AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instr...

Artificial Intelligence-Based Analysis of Laparoscopic Imaging for Intraoperative Surgical Decision Support.

Across surgical specialties, minimally invasive (laparoscopic) surgery has become a standard technique, as it is associated with less trauma, reduced ...

Balancing Speed and Sensitivity: Echo-Planar Accelerated MRI for ARIA-H Screening in Anti-Aβ Therapeutics.

The recent advent of anti-amyloid-β monoclonal antibodies has introduced new demands for MRI-based screening of amyloid-related imaging abnormalities,...

Next-Generation Tactile Sensing and Machine Learning Integration for Robot-Assisted Minimally Invasive Surgery.

Tactile feedback in robot-assisted minimally invasive surgery (RAMIS) is crucial for surgeons when palpating subsurface tumors and other organ structu...

An Electromagnetic Navigation Surgical Robotic System (ENSRS) for Transthoracic Puncture of Small Pulmonary Nodules.

OBJECTIVE: To address the limitations of traditional CT-guided pulmonary nodule interventions, such as excessive radiation exposure, prolonged procedu...

Enhancing patient education in cataract surgery using a conversational artificial intelligence chatbot: pilot randomized controlled trial.

PURPOSE: To evaluate the effectiveness and usability of a safety-first, clinician-validated conversational artificial intelligence (AI) chatbot for ca...

IN-HUMAN FEASIBILITY AND SAFETY OF SUBRETINAL DRUG INJECTION THROUGH ATTACHED RETINA USING A ROBOTIC COMANIPULATION SYSTEM.

PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached retina using the comanipulated Mynutia system in ...

A 25-Year Bibliometric and Scientometric Analysis of Facial Paralysis Rehabilitation: Knowledge Structure, Influential Works, and Emerging Research Frontiers (2000-2025).

BACKGROUND: Facial paralysis rehabilitation has progressed substantially over the past two decades, yet the scientific landscape of this field remains...

Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer.

Purpose To develop and validate a deep learning model integrating tumor and visceral adipose tissue (VAT) CT scan features with clinical indicators to...

Development and Internal Validation of a Machine Learning Model for Predicting Long-Term Opioid Therapy After Hip Fracture Surgery in Older, Opioid-Naïve Adults.

BACKGROUND: Long-term opioid therapy (LTOT) after hip fracture surgery is a common postoperative complication associated with adverse outcomes, yet to...

[Staging of middle ear cholesteatoma surgery and its value for clinical decision-making].

Middle ear cholesteatoma is characterized by squamous epithelial accumulation within the middle ear cavity, which can lead to severe complications suc...

Classifying Kidney Tumor via Adaptive SE-ResNeXt With Mutli-Novel Loss Function and Renal Mass Segmentation Using Pyramidal Attention-Based R2Unet++ Model.

Kidney tumors are one of the prevalent types of tumor globally and it has become a significant health concern. It is the most frequent type of urologi...