Latest AI and machine learning research in ophthalmology for healthcare professionals.
Diabetic Retinopathy (DR) is a complication caused by diabetes that can destroy the retina, leading ...
Vascular contrast enhancement is crucial for early disease diagnosis and surgical precision in robot...
The rapid evolution of internet technologies has emphasized the importance of integrating psychologi...
This study presents a deep learning-based approach for the automated detection of Quiet Eye (QE) dur...
Early detection and monitoring of Parkinson's disease (PD) remain challenging, highlighting the need...
BACKGROUND: A popular trend in depression forecasting research is the development of machine learnin...
A major contributor to permanent vision loss is glaucoma. Early diagnosis is crucial for preventing ...
PURPOSE OF REVIEW: Dry eye disease (DED), allergic conjunctivitis (AC), and infectious conjunctiviti...
Diabetic retinopathy (DR) is a microvascular complication of diabetes that can lead to blindness if ...
Medical imaging, particularly retinal fundus photography, plays a crucial role in early disease dete...
Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression...
BACKGROUND: The aim of the study is to investigate the short- and long-term effects of delayed intra...
Blepharospasm is a focal dystonia characterized by involuntary eyelid contractions that impair visio...
The respiratory virus known as human metapneumovirus (hMPV) is linked to seasonal outbreaks and prim...
Robotics in ophthalmic surgery marks a major advancement in surgical accuracy, safety, and therapeut...
OBJECTIVE: Ophthalmologists use retinal fundus imaging as a useful tool to diagnose retinal issues. ...
Artificial Intelligence has shown great promise in healthcare, particularly in non-invasive diagnost...
PURPOSE: Mucosa-associated lymphoid tissue (MALT) lymphoma in the orbital region and IgG4-related op...
Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot...
BACKGROUND: We aimed to develop an actionable and feasible prospective clinical model to estimate to...
Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep...