Ophthalmology

Refractive Surgery

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

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The impact of post-stroke complications on in-hospital mortality depends on stroke severity.

INTRODUCTION: Controversies remain on whether post-stroke complications represent an independent pre...

Optimization of post-cervical artificial insemination in gilts: Effect of cervical relaxation procedures and catheter type.

Post-cervical (pC) artificial insemination (AI) has been successfully developed for application in m...

Influence of post-insemination nutrition on embryonic development in beef heifers.

Previous studies have demonstrated that a decrease in nutrition immediately following AI reduces pre...

Progesterone supplementation in the early luteal phase after artificial insemination improves conception rates in high-producing dairy cows.

This study examines the possible effects on the reproductive performance of high-producing dairy cow...

A LASSO Method to Identify Protein Signature Predicting Post-transplant Renal Graft Survival.

Identifying novel biomarkers to predict renal graft survival is important in post-transplant clinica...

Impact of FGF23 level on calcium and phosphorus levels in post-renal transplantation.

The level of fibroblast growth factor 23 (FGF23) may be considered as a prognostic factor for asses...

A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regions.

BACKGROUND: One very important functional domain of proteins is the protein-protein interacting regi...

Decoding post-stroke motor function from structural brain imaging.

Clinical research based on neuroimaging data has benefited from machine learning methods, which have...

Microstructures and Mechanical Properties of Co-Cr Dental Alloys Fabricated by Three CAD/CAM-Based Processing Techniques.

The microstructures and mechanical properties of cobalt-chromium (Co-Cr) alloys produced by three CA...

Automatic entry point planning for robotic post-mortem CT-based needle placement.

INTRODUCTION: Post-mortem computed tomography guided placement of co-axial introducer needles allows...

Efficacy of robot-assisted rehabilitation for the functional recovery of the upper limb in post-stroke patients: a randomized controlled study.

BACKGROUND: A prompt and effective physical and rehabilitation medicine approach is essential to obt...

Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysm.

An abdominal aortic aneurysm is an abnormal dilatation of the aortic vessel at abdominal level. This...

Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review.

Powered robotic exoskeletons are a potential intervention for gait rehabilitation in stroke to enabl...

A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.

Machine learning methods have been widely used for gait assessment through the estimation of spatio-...

A Case of Post-Traumatic Pseudocyst in the Spleen Successfully Treated with Alcohol Sclerotherapy.

This report details a case of post-traumatic pseudocyst in the spleen that was successfully treated ...

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