Laser Surgery

Mechanisms of memory storage in a model perirhinal network.

The perirhinal cortex supports recognition and associative memory. Prior unit recording studies reve...

Percutaneous Ultrasound-Guided Laser Ablation with Contrast-Enhanced Ultrasonography for Hyperfunctioning Parathyroid Adenoma: A Preliminary Case Series.

The study was to evaluate the safety and effectiveness of ultrasound-guided percutaneous laser ablat...

Arrhythmia ablation using the Amigo Robotic Remote Catheter System versus manual ablation: One year follow-up results.

Minilaparoendoscopic Single-site Pyeloplasty: The Best Compromise Between Surgeon's Ergonomy and Patient's Cosmesis (IDEAL Phase 2a).

BACKGROUND: Laparoendoscopic single-site (LESS) surgery and minilaparoscopy (ML) represent the evolu...

Impact of catheter ablation with remote magnetic navigation on procedural outcomes in patients with persistent and long-standing persistent atrial fibrillation.

BACKGROUND: The objectives of this study were to assess the procedural outcomes of persistent and lo...

Robotic ablation of atrial fibrillation.

BACKGROUND: Pulmonary vein isolation (PVI) is an established treatment for atrial fibrillation (AF)....

Robotic-Assisted Ureteral Re-implantation: A Case Series.

INTRODUCTION: Minimally invasive surgical techniques are currently used for numerous urologic disord...

Laparoscopic nephrectomy and partial nephrectomy: intraperitoneal, retroperitoneal, single site.

The indication for use of laparoscopy, in the pediatric population, was initially for diagnostic pur...

Minimally invasive pediatric urologic surgery.

Comparison of postural ergonomics between laparoscopic and robotic sacrocolpopexy: a pilot study.

STUDY OBJECTIVE: To compare resident, fellow, and attending urologic and gynecologic surgeons' muscu...

Robotic-assisted thermal ablation of liver tumours.

OBJECTIVE: This study aimed to assess the technical success, radiation dose, safety and performance ...

Mastering Model Fit: Applications of the InterModel Vigorish for Interpretable Machine Learning

Accuracy alone gives little information about which features or model components improve probabilist...

Baseline and Incremental: User, Item, and Request Debiasing in Instagram Feed Ranking

A feed ranker scores candidates with a value model, a weighted sum of engagement predictions. Each p...

Spurious Attention Heads in Vision Transformers: Mechanistic Identification of Annotation-Driven Bias in Medical Chest X-Ray Analysis

Vision Transformers deployed in medical imaging exploit spurious correlations, yet the internal mech...

A Multi-Domain EEG Framework Integrating Spectral, Functional Connectivity, and Topological Features for Subject-Level ADHD Classification

Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder ...

Characterization of artificial riboswitches for Coxsackievirus B3 detection using machine learning

With the increase of recycled water to offset water demand, the potential possibility to spread cont...

RFM: A Lightweight Retinal Foundation Model for Generalised Oculomics

Foundation models for colour fundus photography (CFP) are candidate visual encoders for multimodal m...

Beyond Binary Diagnosis: A Genetic Algorithm Optimized Hybrid Machine Learning Model for PCOS Phenotype Prediction

In this work, we investigate the homogeneity of performance in binary classification between the Rot...

Reclassifying Ablation Energy Risk Profiles in Atrial Fibrillation: A Narrative-Adjudicated Comparative Analysis of the MAUDE Database

Background: Pulsed field ablation (PFA) has been rapidly adopted for atrial fibrillation (AF) on the...

PhysioFusion: A Multi-Modal Ensemble using Static Preoperative Variables and Time Series Intraoperative Data to Predict Adverse Events Following Cardiothoracic Surgery

Accurate prediction of adverse events in the intensive care unit (ICU) following cardiothoracic surg...

Evidence Before Accuracy: A MRI-PET Fusion Network for Alzheimer Disease Classification with Causal Regional Validation

Deep learning models for Alzheimer disease (AD) classification routinely report near-perfect discrim...