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Surgery Subcategories: Anesthesiology Laser Surgery Neurosurgery Orthopedics Otolaryngology Plastic Surgery Surveys Thoracic Surgery

Showing 463-483 of 3,996 articles

Deep learning for dose assessment in radiotherapy by the super-localization of vaporized nanodroplets in high frame rate ultrasound imaging.

External beam radiotherapy is aimed to precisely deliver a high radiation dose to malignancies, whil...

May 2022 35508145

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images.

Detection, diagnosis, and treatment of ophthalmic diseases depend on extraction of information (feat...

May 2022 35595784

New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology.

Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction o...

May 2022 35523534

Analysis of Operating Room Efficiency During Robot-Assisted Urologic Surgeries Utilizing Fixed (Nonprocedural) Operative Times.

To analyze operating room (OR) efficiency by evaluating fixed OR times for three common urologic ro...

May 2022 34937418

Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.

OBJECTIVE: A retina optical coherence tomography (OCT) image differs from a traditional image due to...

Apr 2022 35525213

Automatic Evaluation of Motor Rehabilitation Exercises Based on Deep Mixture Density Neural Networks.

An automatic assessment system for physical telerehabilitation could reduce the time and cost of tre...

Apr 2022 35452866

Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images.

With non-invasive and high-resolution properties, optical coherence tomography (OCT) has been widely...

Apr 2022 35459040

Effects of data and entity ablation on multitask learning models for biomedical entity recognition.

MOTIVATION: Training domain-specific named entity recognition (NER) models requires high quality han...

Apr 2022 35413440

Deep Learning-Based Electrocardiograph in Evaluating Radiofrequency Ablation for Rapid Arrhythmia.

This study is aimed at analyzing the important role of deep learning-based electrocardiograph (ECG) ...

Mar 2022 35371280

Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.

Toxoplasmosis is a zoonotic illness caused by . Those with a normal immune system normally recover w...

Mar 2022 35360479

BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images.

BACKGROUND AND OBJECTIVE: Early fundus screening and timely treatment of ophthalmology diseases can ...

Mar 2022 35344766

An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease.

Lyme disease is one of the most common vector-borne infections. It typically causes cardiac illnesse...

Feb 2022 35265109

Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression.

On September 3, 2020, the Collaborative Community on Ophthalmic Imaging conducted its first 2-day vi...

Feb 2022 35218987

Arterial enhancing local tumor progression detection on CT images using convolutional neural network after hepatocellular carcinoma ablation: a preliminary study.

To evaluate the performance of a deep convolutional neural network (DCNN) in detecting local tumor p...

Feb 2022 35110631

Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response i...

Jan 2022 35089057

PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation.

The accurate segmentation of retinal vessels images can not only be used to evaluate and monitor var...

Jan 2022 35073371

A novel graph convolutional neural network for predicting interaction sites on protein kinase inhibitors in phosphorylation.

Protein kinase-inhibitor interactions are key to the phosphorylation of proteins involved in cell pr...

Jan 2022 34997142

Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.

Eye irritation and corrosion are fundamental considerations in developing chemicals to be used in or...

Dec 2021 35935266

Surgery

Browse Categories

Deep learning for dose assessment in radiotherapy by the super-localization of vaporized nanodroplets in high frame rate ultrasound imaging.

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images.

New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology.

Analysis of Operating Room Efficiency During Robot-Assisted Urologic Surgeries Utilizing Fixed (Nonprocedural) Operative Times.

Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.

Automatic Evaluation of Motor Rehabilitation Exercises Based on Deep Mixture Density Neural Networks.

Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images.

Effects of data and entity ablation on multitask learning models for biomedical entity recognition.

Deep Learning-Based Electrocardiograph in Evaluating Radiofrequency Ablation for Rapid Arrhythmia.

Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.

BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images.

An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease.

Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression.

Arterial enhancing local tumor progression detection on CT images using convolutional neural network after hepatocellular carcinoma ablation: a preliminary study.

Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation.

A novel graph convolutional neural network for predicting interaction sites on protein kinase inhibitors in phosphorylation.

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.

A Case for the Use of Artificial Intelligence in Glaucoma Assessment.

Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice.

Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.

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