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Diagnostic accuracy of enhanced depth imaging OCT in children

The authors present the findings of a retrospective cross-sectional case series. Cases were identified using a treatment register having been evaluated in a set one-year period. Two ophthalmologists acted as masked image examiners for enhanced depth imaging optical coherence tomography...

Detection of post stroke visual impairment in variety of cohorts

The Impact of Visual Impairment after Stroke (IVIS) study introduced a standardised vision assessment protocol across three acute stroke units in the northwest of England, with a similar demographic population (predominantly white British). The study reported similar rates of visual...

Association of subconjunctival haemorrhage with non-accidental injury

This study assessed the frequency and nature of diagnostic work-ups in infants with subconjunctival haemorrhage (SCH), the incidence of occult injuries among these patients and the factors that may have influenced the work-up. This was a retrospective secondary analysis of...

Predicting ischemic lesion location using perimetry

The authors present a retrospective records review, using the search terms homonymous hemianopia, visual field loss and MRI. Only posterior circulation artery territory ischemic strokes were included. Demographics, stroke details and initial and follow-up with 24-2 SITA Standard perimetry results...

Microsporidia-induced stromal keratitis: a new cause of presumed immune stromal (interstitial) keratitis

This is a non-comparative retrospective observational case series from India from 1 October 2020 to 31 January 2021. The inclusion criteria were: (1) presence of nummular / coin shaped lesions with at least one >2mm in size and / presence...

A scoping review of artificial intelligence tools for diabetic retinopathy in low- and middle-income countries

The authors conducted a scoping review to summarise the literature relating to artificial intelligence (AI) tools for diabetic retinopathy (DR) in low- and middle-income countries (LMICs). Eighty-one studies were included, following a comprehensive literature search. The majority of studies were...

Opening the AI ‘black box’ for glaucoma

Artificial intelligence (AI) models show great promise for glaucoma detection using retinal images, but their ‘black box’ nature is a major barrier to clinical adoption. Clinicians are often hesitant to trust a diagnosis without understanding its reasoning. This paper provides...

Vision screening and socio-demographic disparities in Iranian school entrants

The authors present a large population-based cross-sectional study evaluating the vision status of children entering school in Iran and its association with socio-demographic characteristics. Parents reported whether their children had healthy vision, wore eyeglasses, or had suspected vision problems, alongside...