Latest AI and machine learning research in ophthalmology for healthcare professionals.
The application of computer vision techniques that have been used in various domains and artwork is not an exception. The latest models of deep learning are applied for processing and classification of digital images to analyze textures, color compositions, and lighting patterns across artistic and real-world imagery. In this research work, we aim to classify the given images to identify whether t...
INTRODUCTION: Interventional oncology (IO) is a key component of multidisciplinary cancer care, delivering minimally invasive therapies with safety and efficacy comparable to or surpassing conventional approaches. As IO enters a transformative era, the field must continue demonstrating value within the greater world of oncology, particularly through the study and application of surrogate endpoints...
Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential...
Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, mult...
Ophthalmology is undergoing rapid transformation through the integration of smart technologies such as artificial intelligence (AI), big data analytic...
Artificial intelligence (AI) holds transformative potential for the care of people with mental health illnesses. This Review explores key domains and ...
Miniaturized lenses with a large depth of field and high imaging quality are desirable for compact optical systems, as they eliminate the need for len...
Reconstructive surgery is fundamentally dedicated to restoring tissues and organs damaged by trauma, disease, or congenital anomalies, with the goal o...
BACKGROUND: Smart patch healthcare devices are emerging as a distinct user interface in decoding the bidirectional interaction of the five sense organ...
INTRODUCTION: Ocular tumours are detrimental to the quality of life and survival. The diagnostic capabilities of artificial intelligence (AI) have inc...
BACKGROUND AND OBJECTIVE: Aircraft pilots can be faced with a high mental workload (MW) combined with moderate hypoxia and sleep restriction. We aimed...
OBJECTIVE: Diabetic macular edema (DME) with incomplete response to anti-VEGF therapy is a significant challenge. Here, we integrated advanced proteom...
In this study, we show the quantitative structure-property relationship (QSPR) for amphetamine derivatives based on neighborhood degree-based topologi...
Cryo-electron microscopy (cryo-EM) has become an essential technique for resolving the three-dimensional structures of biological macromolecules, wher...
BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangerous condition that impairs vision in diabetics. Pre...
Artificial intelligence (AI) is revolutionizing neuro-ophthalmology by enhancing diagnostic accuracy and clinical decision-making. Techniques like dee...
Artificial intelligence (AI) is reshaping population screening, yet the translation from laboratory performance to population benefit remains limited....