Ophthalmology

Refractive Surgery

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

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Post hoc support vector machine learning for impedimetric biosensors based on weak protein-ligand interactions.

Impedimetric biosensors for measuring small molecules based on weak/transient interactions between b...

iPTMnet: an integrated resource for protein post-translational modification network discovery.

Protein post-translational modifications (PTMs) play a pivotal role in numerous biological processes...

Predictive Factors for Post-Ischemic Compartment Syndrome in Non-Traumatic Acute Limb Ischemia in a Lower Extremity.

: Compartment syndrome (CS) is serious complication following revascularization of acute limb ischem...

[Changes of platelet rheological behavior and the interventional effects of ulinastatin in rats with high-voltage electrical burns].

To explore the influence of high-voltage electrical burns on the number of platelet aggregation, β-...

Efficacy of oral tolvaptan versus 3% hypertonic saline for correction of hyponatraemia in post-operative patients.

BACKGROUND AND AIMS: Hyponatraemia is frequent in post-operative patients and may be corrected with ...

Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk i...

Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence.

Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment...

Effect of human-robot interaction on muscular synergies on healthy people and post-stroke chronic patients.

Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patie...

Comparison of kinematic and EMG parameters between unassisted, fixed- and adaptive-stiffness robotic-assisted ankle movements in post-stroke subjects.

In this paper, we present an assist-as-needed scheme that effectively adapted the assistance provide...

Motor adaptation to lateral pelvis assistance force during treadmill walking in individuals post-stroke.

The goal of this study was to determine how individuals post-stroke response to the lateral assistan...

Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke.

OBJECTIVE: To review the state of the art of robotic-aided hand physiotherapy for post-stroke rehabi...

Improve the biodegradability of post-hydrothermal liquefaction wastewater with ozone: conversion of phenols and N-heterocyclic compounds.

Hydrothermal liquefaction is a promising technology to convert wet biomass into bio-oil. However, po...

Preclinical Evaluation of Ga-MAA from Commercial Available Tc-MAA Kit.

Tc-Macroaggregated Albumin (Tc-MAA) has been used as a perfusion agent. This study described develop...

Machine Learning Models of Post-Intubation Hypoxia During General Anesthesia.

Fine-meshed perioperative measurements are offering enormous potential for automatically investigati...

Bupivacaine application reduces post thyroidectomy pain: Cerrahpasa experience.

BACKGROUND: We aimed to evaluate the impact of bupivacaine administration into the surgical field af...

Artificial Intelligence and Semantics through the Prism of Structural, Post-Structural and Transcendental Approaches.

There is a problem associated with contemporary studies of philosophy of mind, which focuses on the ...

Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network.

This paper presents an electroencephalography (EEG) based-classification of between pre- and post-me...

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