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Sub-clinical detection methods in multiple sclerosis

Visually symptomatic multiple sclerosis (MS) provides only part of the required information to assist in understanding the disease. Recently, researchers have concentrated their efforts on diagnosing MS cases in the subclinical period. The aim of this paper was to assess...

Risk factors identified for glaucoma progression in paediatric glaucoma suspects

A retrospective case review was conducted of children (<18 years) identified as being glaucoma suspects using common clinical criteria or the Childhood Glaucoma Research Network definition. Exclusion criteria included penetrating ocular trauma, treated ocular hypertension / glaucoma and use of...

Tumour characteristics influencing visual field outcomes

This retrospective study aimed to explore correlations between pituitary tumour characteristics which influenced visual field changes. Cases of transsphenoidal surgery from a six-year period resulting in a pathologic diagnosis of pituitary adenoma from a single centre were identified. Individuals 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...