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Laser Surgery

Latest AI and machine learning research in laser surgery for healthcare professionals.

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Artificial intelligence and deep learning in ophthalmology.

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in r...

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.

We review some of the latest approaches to analysing cardiac electrophysiology data using machine le...

Dictionary Representations for Electrode Displacement Elastography.

Ultrasound electrode displacement elastography (EDE) has demonstrated the potential to monitor ablat...

Predicting Thermodynamic Properties of Alkanes by High-Throughput Force Field Simulation and Machine Learning.

Knowledge of the thermodynamic properties of molecules is essential for chemical process design and ...

Remote vs. conventional navigation for catheter ablation of atrial fibrillation: insights from prospective registry data.

BACKGROUND: Robotic (RNS) or magnetic navigation systems (MNS) are available for remotely performed ...

Ablation of NTPDase2+ cells inhibits the formation of filiform papillae in tongue tip.

BACKGROUND: Lingual epithelia in the tongue tip are among the most rapidly regenerating tissues, but...

Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.

Optical coherence tomography (OCT) is a high-resolution and noninvasive imaging modality that has be...

Deep learning in ophthalmology: a review.

Deep learning is an emerging technology with numerous potential applications in Ophthalmology. Deep ...

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure...

Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images.

GOAL: We present a model-based feature augmentation scheme to improve the performance of a learning ...

Machine Learning of Partial Charges Derived from High-Quality Quantum-Mechanical Calculations.

Parametrization of small organic molecules for classical molecular dynamics simulations is not trivi...

Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.

Optical coherence tomography (OCT) is an imaging modality that is used extensively for ophthalmic di...

Real-time estimation of lesion depth and control of radiofrequency ablation within ex vivo animal tissues using a neural network.

BACKGROUND: Radiofrequency ablation (RFA), a method of inducing thermal ablation (cell death), is of...

Comparison of radiofrequency and transoral robotic surgery in obstructive sleep apnea syndrome treatment.

INTRODUCTION: Radiofrequency tissue ablation (RFTA) and transoral robotic surgery (TORS) are the met...

Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters.

PURPOSE: This study aimed to develop a machine learning-based algorithm for objective classification...

Catheter Ablation of Focal Atrial Tachycardia Using Remote Magnetic Navigation.

OBJECTIVES: The outcomes of catheter ablation in focal atrial tachycardia (AT) using remote magnetic...

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