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Artificial intelligence in eyecare: how do we ensure new technologies truly benefit our patients?

From monitoring patients with heart disease to improving the early diagnosis of cancer, artificial intelligence (AI) using deep learning techniques is already employed in many different healthcare specialties [1]. In the eyecare field, AI technologies have been used to analyse...

Embedding EMR for a complete transformation in user experience

Informatics and IT projects in the NHS have a history of being over budget, delivered late and not fulfilling the design brief. “But it doesn’t have to be that way,” believes Chris Canning, Consultant Ophthalmologist and Chief Clinical Information Officer...

Quality matters in the management of serious eye disorders

The author discusses the first quality standard for serious eye disorders from NICE and takes a look at new care models for enhanced service delivery. Patient backlogs pose risks to patient safety, with research showing that people are losing sight...

Adaptive optics imaging: resolving single cells in the living eye

The human retina is unique in the central nervous system (CNS) in that it can be directly visualised non-invasively. Technological advances of several imaging modalities, including optical coherence tomography (OCT), multichannel scanning laser ophthalmoscopy (SLO) and fundus photography, have afforded...

Mastering clinical skills in ophthalmology

To young junior doctors, and some senior doctors who may not have had much exposure to ophthalmology, the specialty can seem very foreign. Not only are the conditions and examination findings specific to the eyes, but the skill set required...