The treatment of diabetic macular oedema (DMO) likely involves a series of treatment episodes separated by gaps during which ...

Ruben Martin-Pinardel, Jordi Izquierdo-Serra, Carolina Bernal-Morales, Sandro De Zanet, Gonzaga Garay-Aramburu, Martin Puzo, Carolina Arruabarrena, Laura Sararols, Maximino Abraldes, Laura Broc, Jose ...

Background To quantitatively assess outer retinal layers in eyes with hydroxychloroquine (HCQ) toxicity. Methods A retrospective case–control study was performed to identify eyes with HCQ ...

Methods The C ontrol of M y opia Using P eriphe r al Diffusion Lenses E fficacy and S afety S tudy (CYPRESS, NCT03623074) is a 36-month, multicentre, randomised, controlled, double-masked trial ...

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural ...

Purpose To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical ...

Age-related macular degeneration (AMD) is the leading cause of irreversible blindness in the developed world. The identification of the central role of vascular endothelial growth factor (VEGF) in the ...

Background Data on myopia prevalence and progression in European children are sparse. The aim of this work was to evaluate the progression of myopia in children and teenagers in a large prospective ...

Foundation models represent a paradigm shift in artificial intelligence (AI), evolving from narrow models designed for specific tasks to versatile, generalisable models adaptable to a myriad of ...

Since December 2019, the novel COVID-19 outbreak has spread rapidly around the globe and infected millions of people. Although the major transmission route of severe acute respiratory syndrome ...

Aims To develop a deep learning (DL) model for automatic classification of macular hole (MH) aetiology (idiopathic or secondary), and a multimodal deep fusion network (MDFN) model for reliable ...

Aims To develop an algorithm to classify multiple retinal pathologies accurately and reliably from fundus photographs and to validate its performance against human experts. Methods We trained a deep ...