Refractive Surgery

The value of federated learning during and post-COVID-19.

Federated learning (FL) as a distributed machine learning (ML) technique has lately attracted increa...

Clinical Uses of a Robot (Hybrid-Assisted Limb or HAL™) in Patients with Post-stroke Spasticity after Botulinum Toxin Injections.

Spasticity is the major cause of disabilities in stroke-survivors. Botulinum neurotoxin (BoNT) injec...

The fifth dimension in esthetic dentistry.

Every human smile is unique and special, reflecting the different shapes, textures, and colors of th...

Sequentially applied myoelectrically controlled FES in a task-oriented approach and robotic therapy for the recovery of upper limb in post-stroke patients: A randomized controlled pilot study.

BACKGROUND: Functional recovery of the plegic upper limb in post-stroke patients may be enhanced by ...

Using Artificial Intelligence to Measure Facial Expression following Facial Reanimation Surgery.

Social interactions are largely dependent on the interpretation of information conveyed through faci...

Automated Detection of Enhanced DBS Device Settings.

Continuous deep brain stimulation (DBS) of the ventral striatum (VS) is an effective treatment for s...

Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

IMPORTANCE: Large amounts of optical coherence tomographic (OCT) data of diabetic macular edema (DME...

Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era.

PURPOSE OF REVIEW: To highlight artificial intelligence applications in ophthalmology during the COV...

Advances in the rehabilitation of intensive care unit acquired weakness: A case report on the promising use of robotics and virtual reality coupled to physiotherapy.

INTRODUCTION: Traditional physiotherapy is currently the best approach to manage patients with inten...

[Determination of vitamin K and vitamin K in modulation milk powder by post-column reduction-high performance liquid chromatography].

A method for the determination of vitamin K and vitamin K in modulation milk powder was developed by...

MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization.

MusiteDeep is an online resource providing a deep-learning framework for protein post-translational ...

Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approach.

Electroencephalography (EEG) is an important clinical tool for reviewing sleep-wake cycling in neona...

Volumetric Choroidal Segmentation Using Sequential Deep Learning Approach in High Myopia Subjects.

Many ocular diseases are associated with choroidal changes. Therefore, it is crucial to be able to s...

Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion Surgery.

We propose a robust technique for segmenting magnetic resonance images of post-atrial septal occlusi...

Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Neonatal hypoxic-ischemic encephalopathy (HIE) evolves over different phases of time during recovery...

Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG.

Diagnosis of hypoxic-ischemic encephalopathy (HIE) is currently limited and prognostic biological ma...

Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is curre...

Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.

PURPOSE: To identify optimal machine learning methods for radiomics-based differentiation of local r...

Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

INTRODUCTION: The purpose of the current study is to determine the accuracy of machine learning in p...

Artificial Intelligence for Refractive Surgery Screening: Finding the Balance Between Myopia and Hype-ropia.

Alpha-tocopheryl Succinate in Extender Improves the Post Thaw Quality of Water Buffalo Spermatozoa.

BACKGROUND: Alpha-tocopheryl succinate, a major chain-splitting antioxidant, is the most effective f...