Ophthalmic Imaging

This Viewpoint discusses genetic counseling for predictive retinal imaging.

This cohort study describes a deep-learning algorithm based on spectral-domain optical coherence tomography to predict 1-year progression from intermediate age-related macular degeneration to geographic atrophy.

This quality improvement study evaluates clinician-driven, self-trained use of automated machine learning and public data sets in designing high-performing diabetic retinopathy classification models.

This case report discusses treatment of lymphangiectasia hemorrhagica conjunctivae with bleomycin sclerotherapy in a patient aged 47 years with a history of recurrent subconjunctival hemorrhage.

This cross-sectional study evaluates a relatively simple, noninvasive measurement method for exophthalmos using a smartphone.

This study attempts to assess global ocular deformation in pathologic myopia.

This case report discusses a diagnosis of a dark-without-pressure lesion in an otherwise asymptomatic patient in their mid-40s.

This cross-sectional study investigates the accuracy of various optical coherence tomography parameters in the detection of glaucoma in highly myopic eyes.

This cohort study investigates the association of the deep learning–based diabetic macular ischemia with the subsequent risk of diabetic retinopathy progression, diabetic macular edema development, and visual acuity deterioration.

This diagnostic/prognostic study uses data and color fundus photographs from a randomized clinical trial involving patients undergoing treatment of diabetic macular edema to enable artificial intelligence systems to estimate best-corrected visual acuity and to evaluate the accuracy of those estimates.

A 63-year-old man with a history of stage 3 cutaneous melanoma of the scalp and chronic lymphocytic leukemia presents with kaleidoscope vision. What would you do next?

This diagnostic study investigates whether conversion of fundus photographs to retinal vessel maps removes information relevant to self-reported race to mitigate artificial intelligence bias.

This case report discusses using adaptive optics imaging in a patient with acute macular neuroretinopathy with retinal structural changes.