British Journal of Ophthalmology

Commentary on ‘identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning’

The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
bjo.bmj

Universal architecture of corneal segmental tomography biomarkers for artificial intelligence-driven diagnosis of early keratoconus

Correspondence to Dr Abhijit Sinha Roy, Department of Imaging, Biomechanics and Telemedicine, Narayana Nethralaya Foundation, Bangalore 560010, India; asroy27{at}yahoo.com Aims To develop a ...
bjo.bmj

Evaluation of a new rebound tonometer for self-measurement of intraocular pressure

Correspondence to Ian E Murdoch, UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, UK; i.murdoch{at}ucl.ac.uk Background/aims To compare the accuracy of self-obtained, ...
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Corneal biomechanical properties and intraocular pressure measurement in patients with nanophthalmos

2 Kanuni Sultan Suleyman Education and Research Hospital, Department of Ophthalmology, Istanbul, Turkey Aims To compare the biomechanical properties of the cornea and intraocular pressure (IOP) ...
bjo.bmj

Controversy in the management of convergence excess esotropia

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