Ophthalmology

Refractive Surgery

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

5,747 articles
Stay Ahead - Weekly Refractive Surgery research updates
Subscribe
Browse Specialties
Showing 757-777 of 5,747 articles
Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.

PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenti...

Choosing Clinical Variables for Risk Stratification Post-Acute Coronary Syndrome.

Most risk stratification methods use expert opinion to identify a fixed number of clinical variables...

Predicting post-stroke pneumonia using deep neural network approaches.

BACKGROUND AND PURPOSE: Pneumonia is a common complication after stroke, causing an increased length...

Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data.

Linear machine learning models "learn" a data transformation by being exposed to examples of input w...

Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology.

To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...

Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner f...

Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies.

BACKGROUND: Wearable smart watches provide large amount of real-time data on the environmental state...

Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.

We propose a new method for breast cancer screening from DCE-MRI based on a post-hoc approach that i...

Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging.

BACKGROUND: Improving imaging quality is a fundamental problem in ultrasound contrast agent imaging ...

CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept.

INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adre...

Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features.

BACKGROUND: The development of optimal classification criteria for specific mental disorders which s...

Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs.

Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat se...

Novel small molecule retrograde transport blocker confers post-exposure protection against ricin intoxication.

Ricin is a highly toxic type 2 ribosome-inactivating protein (RIP) which is extracted from the seeds...

Supplementation of OmniGen-AF improves the metabolic response to a glucose tolerance test in beef heifers.

This study determined whether feeding the immunomodulating supplement, OmniGen-AF, to feedlot heifer...

A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons.

It is known that brain can create a sparse representation of the environment in both sensory and mne...

Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.

BACKGROUND: Add-on robot-mediated therapy has proven to be more effective than conventional therapy ...

Model of a Support Vector Machine to Assess the Functional Cure for Surgery of Intermittent Exotropia.

In this paper the optimum timing for the postoperative functional cure of basic intermittent exotrop...

Ontology-based specification and generation of search queries for post-market surveillance.

BACKGROUND: The vigilant observation of medical devices during post-market surveillance (PMS) for id...

Effect of repetitive transcranial magnetic stimulation combined with robot-assisted training on wrist muscle activation post-stroke.

OBJECTIVE: To compare the effects of active assisted wrist extension training, using a robotic exosk...

Browse Specialties