Latest AI and machine learning research in refractive surgery for healthcare professionals.
In this study, a novel deep learning-based methodology was investigated to predict breast cancer res...
The paper proposes a novel post-filtering method based on convolutional neural networks (CNNs) for q...
Brain network analysis can offer useful information to guide the rehabilitation of post-stroke patie...
PURPOSE: Patients with pharmacoresistant refractory epilepsy may require epilepsy surgery to prevent...
This study sought to develop basic robotic surgical skills among surgical trainees across multiple s...
dHACM is a source of factors including cytokines that allow anti-inflammatory and proliferative elem...
BACKGROUND AND AIMS: Preoperative fasting imparts safety to patients from aspiration of gastric cont...
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower...
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...
Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and va...
Stroke is one of the most common neural disorders, which causes physical disabilities and motor impa...
Robot-assisted radical prostatectomy (RARP) is challenging in men with prior history of transurethra...
Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions fr...
Rapid technological advances in artificial intelligence are creating opportunities for real-time alg...
INTRODUCTION: Early detection of visual symptoms in pterygium patients is crucial as the progression...
This paper proposes a post-processing method called bidirectional interpolation method for sampling-...
Technological breakthroughs in recent years have led to a revolution in fields such as Machine Visio...
Diaphragmatic hiatal hernia is a potential complication of oesophagectomy in cancer patients. Over t...
BACKGROUND: The corneal back surface is known to add some against the rule astigmatism, with implica...
Robot-assisted stereoelectroencephalography (sEEG) is frequently employed to localize epileptogenic ...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...