Latest AI and machine learning research in ophthalmology for healthcare professionals.
BACKGROUND: Diabetic macular edema (DME) is one of the severe complication of diabetic retinopathy causing severe vision loss and leads to blindness in severe cases if left untreated.
BACKGROUND: Keratoconus is recognized by asymmetrical thinning and bulging of the cornea, resulting in distortion in the surface of the cornea. Keratoconus also alters the biomechanical properties of the cornea, which can be an indicator of the healthy and keratoconus eyes. This study was aimed at employing a combination of clinical data, finite element method (FEM), and artificial neural network ...
PURPOSE: Protein sumoylation is a well established regulatory mechanism that regulates chromatin structure and dynamics, cell proliferation and differ...
BACKGROUND: Postoperative prolonged air leaks is one of the most common complications secondary to pulmonary resections. Digital drainage system (DDS)...
IMPORTANCE: A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases.
PURPOSE: Existing summary statistics based upon optical coherence tomographic (OCT) scans and/or visual fields (VFs) are suboptimal for distinguishing...
BACKGROUND: Different surgical strategies are used to treat medical refractory renal hyperparathyroidism. Our preferred choice in patients with modera...
Elevated preoperative levels of alkaline phosphatase (ALP) in patients with refractory secondary hyperparathyroidism are correlated with postoperative...
RATIONALE: Contact lens storage cases are known to be contaminated by a significant number of bacteria. However, histamine-producing Raoultella specie...
All complex motion patterns can be decomposed into several elements, including translation, expansion/contraction, and rotational motion. In biologica...
IMPORTANCE: Age-related macular degeneration (AMD) affects millions of people throughout the world. The intermediate stage may go undetected, as it ty...
Malignant intractable ascites worsens not only patient symptoms but also their daily activities. It often leads to a patient discontinuing or postponi...
The studies of nanostructure-based aluminum sensors have attracted huge attention because aluminum is a more cost-effective plasmonic material. Howeve...
Understanding and predicting the human visual attention mechanism is an active area of research in the fields of neuroscience and computer vision. In ...
PURPOSE: To develop a decision forest for prediction of laser refractive surgery outcome.
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, an...
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is...
Eye-movements are the only directly observable behavioural signals that are highly correlated with actions at the task level, and proactive of body mo...
During the past 60 years scientific research proposed many techniques to control robotic hand prostheses with surface electromyography (sEMG). Few of ...
Is inferring readers' literacy skills possible by analyzing their eye movements during text reading? This study used Support Vector Machines (SVM) to ...