Artificial intelligence (AI), with its subdivisions (machine and deep learning), is a new branch of computer science that has shown impressive results across a variety of domains. The applications of AI to medicine and biology are being widely investigated. Medical specialties that rely heavily on images, including radiology, dermatology, oncology and ophthalmology, were the first to explore AI approaches in analysis and diagnosis. Applications of AI in ophthalmology have concentrated on diseases with high prevalence, such as diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration (AMD), and glaucoma. Here we provide an overview of AI applications for diagnosis, classification, and clinical management of AMD and other macular dystrophies.

Background: Innovations in engineering and neuroscience have enabled the development of sophisticated visual prosthetic devices. In clinical trials, these devices have provided visual acuities as high as 20/460, enabled coarse navigation, and even allowed for reading of short words. However, long-term commercial viability arguably rests on attaining even better vision and more definitive improvements in tasks of daily living and quality of life. Purpose: Here we review technological and biological obstacles in the implementation of visual prosthetics. Conclusions: Research in the visual prosthetic field has tackled significant technical challenges, including biocompatibility, signal spread through neural tissue, and inadvertent activation of passing axons; however, significant gaps in knowledge remain in the realm of neuroscience, including the neural code of vision and visual plasticity. We assert that further optimization of prosthetic devices alone will not provide markedly improved visual outcomes without significant advances in our understanding of neuroscience.

Traditional therapies to treat amblyopia, such as optical correction or occlusion/penalization of the non-amblyopic eye, are efficacious but are not without limitations such as poor adherence and decreased success with increasing age. Recently, there has been an interest in new amblyopia therapies, some using binocular techniques, through a variety of platforms including video games, movies, and virtual reality. Overall, available efficacy results for these treatments are highly variable.

PURPOSE: Since eyes with center-involved diabetic macular edema (CI-DME) and good baseline visual acuity (VA) showed no difference in VA loss when managed initially with observation, laser, or aflibercept, understanding the estimated costs of these strategies to the US population is relevant for health care planning. DESIGN: Pre-planned subgroup analysis from a randomized controlled trial METHODS, SETTING, AND PARTICIPANTS: Total costs for managing participants with CI-DME and good baseline VA assigned to aflibercept (n= 236), laser (n=240), or observation (n = 236) during the 2-year trial were calculated. Using epidemiological data and extrapolating costs, 10-year costs for caring for persons with CI-DME and good baseline VA throughout the US was estimated. INTERVENTIONS: Observation or laser groups initiated aflibercept if VA decreased. Aflibercept group received injections up to every 4 weeks. MAIN OUTCOMES AND MEASURES: Estimated 10-year U.S. population costs to manage CI-DME with good VA. RESULTS: Assuming all patients in the US with CI-DME and good baseline VA received aflibercept initially, 10-year costs were projected to be $28.80 billion compared with $14.42 billion if initially receiving laser treatment or $15.70 billion if initially observed, with aflibercept added if VA worsened in the laser or observation arms. CONCLUSIONS AND RELEVANCE: Similar VA outcomes on average are obtained by initially managing CI-DME and good baseline VA with laser or observation strategies instead of immediately using aflibercept. While any one of these three strategies might be warranted depending on an individual's specific circumstances, on a societal level, cost savings might be achieved with these first two approaches. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01909791.

BACKGROUND: The severity and extent of microaneurysms (MAs) have been used to determine diabetic retinopathy (DR) severity and estimate the risk of DR progression over time. The recent introduction of ultrawide field (UWF) imaging has allowed ophthalmologists to readily image nearly the entire retina. Manual counting of MAs, especially on UWF images, is laborious and time-consuming, limiting its potential use in clinical settings. Automated MA counting techniques are potentially more accurate and reproducible compared to manual methods. METHOD: Review of available literature on current techniques of automated MA counting techniques on both ultrawide field (UWF) color images (CI) and fluorescein angiography (FA) images. RESULTS: Automated MA counting techniques on UWF images are still in the early phases of development with UWF-FA counts being further along. Early studies have demonstrated that these techniques are accurate and reproducible. CONCLUSION: Automated techniques may be an appropriate option for detecting and quantifying MAs on UWF images, especially in eyes with earlier DR severity. Larger studies are needed to appropriately validate these techniques and determine if they add substantially to clinical practice compared to standard DR grading.

Variants in multiple tubulin genes have been implicated in neurodevelopmental disorders, including malformations of cortical development (MCD) and congenital fibrosis of the extraocular muscles (CFEOM). Distinct missense variants in the beta-tubulin encoding genes TUBB3 and TUBB2B cause MCD, CFEOM, or both, suggesting substitution-specific mechanisms. Variants in the alpha tubulin-encoding gene TUBA1A have been associated with MCD, but not with CFEOM. Using exome sequencing (ES) and genome sequencing (GS), we identified 3 unrelated probands with CFEOM who harbored novel heterozygous TUBA1A missense variants c.1216C>G, p.(His406Asp); c.467G>A, p.(Arg156His); and c.1193T>G, p.(Met398Arg). MRI revealed small oculomotor-innervated muscles and asymmetrical caudate heads and lateral ventricles with or without corpus callosal thinning. Two of the three probands had MCD. Mutated amino acid residues localize either to the longitudinal interface at which α and β tubulins heterodimerize (Met398, His406) or to the lateral interface at which tubulin protofilaments interact (Arg156), and His406 interacts with the motor domain of kinesin-1. This series of individuals supports TUBA1A variants as a cause of CFEOM and expands our knowledge of tubulinopathies.

: To determine the response to the second TNF-α inhibitor (adalimumab and infliximab) after failing the first agent in idiopathic inflammatory retinal vascular leakage.: This was a retrospective observational case series. Patients with the diagnosis of idiopathic inflammatory retinal vascular leakage who had received both infliximab and adalimumab were included in the study.: Twelve and 15 patients received adalimumab (Group one) and infliximab (Group two) as the first treatment, respectively. The remission rates between Group one (58.3%) and Group two (66.7%) were not statistically significant. ( = .4) As the second agent, adalimumab was more effective in younger patients (27.5 ± 20.6) compared to older patients (48.75 ± 10.2). ( = .03). Moreover, patients with lower vision responded marginally better to infliximab as the second treatment ( = .06).: Either TNF-α inhibitor, adalimumab and infliximab, can be employed in the treatment of the patients with idiopathic inflammatory retinal vascular leakage who fail one of these agents.

PURPOSE: To compare onset times of glaucoma progression among different glaucoma tests: disc photography (DP), visual field (VF) testing, 2-dimensional (2D) retinal nerve fiber layer (RNFL) thickness, and 3-dimensional (3D) spectral-domain (SD) OCT neuroretinal rim measurements. DESIGN: Prospective, longitudinal cohort study. PARTICIPANTS: One hundred twenty-four eyes of 124 patients with open-angle glaucoma. METHODS: Over a 5-year period, 124 patients with open-angle glaucoma underwent yearly DP, VF testing, SD OCT RNFL thickness scans, and optic nerve volume scans (Spectralis; Heidelberg Engineering), all performed on the same day. From high-density optic nerve volume scans, custom-built software calculated the minimum distance band (MDB) thickness, a 3D neuroretinal rim parameter. Patients were classified as glaucoma progressors or nonglaucoma progressors using event-based analysis. Progression by DP and VF testing occurred when 3 masked glaucoma specialists unanimously concurred. Progression by RNFL and MDB thickness occurred if change of more than test-retest variability was observed. Kaplan-Meier curves were constructed to analyze time-to-progression data. Kappa Coefficients were used to measure agreement of progressing eyes among methods. MAIN OUTCOME MEASURES: Time to glaucoma progression among all 4 methods. RESULTS: Global MDB thickness detected glaucoma progression in the highest percentage of eyes (52.4%) compared with DP (16.1%; P < 0.001) and global RNFL thickness (15.3%; P < 0.001). Global MDB thickness detected glaucoma progression earlier than either DP (23 months vs. 44 months; P < 0.001) or global RNFL thickness (23 months vs. 33 months; P < 0.001). Among MDB progressing eyes, 46.2% were confirmed simultaneously or later by other conventional methods. Agreement of glaucoma-progressing eyes for all 4 methods in paired fashion were slight to fair (κ = 0.095-0.300). CONCLUSIONS: High-density 3D SD OCT neuroretinal rim measurements detected glaucoma progression approximately 1 to 2 years earlier compared with current clinically available structural tests (i.e., DP and 2D RNFL thickness measurements).

PURPOSE: To determine if metformin is associated with noninfectious uveitis (NIU). METHODS: Patients in an insurance claims database who initiated metformin (n = 359,139) or other oral anti-diabetic medications (n = 162,847) were followed for NIU development. Both cohort and case-control analyses were performed to assess differing exposure lengths using Cox and conditional logistic regression, respectively. RESULTS: The hazard ratio (HR) for incident NIU was not significantly different between the metformin and non-metformin cohorts [HR = 1.19, 95% Confidence Interval (CI): 0.92-1.54, = .19]. The case control analysis similarly showed no association between any metformin use 2 years before the outcome date and NIU [odds ratio (OR) = 0.64, 95% CI: 0.39-1.04, = .07]. However, there was a protective 20 association between cumulative metformin duration [(445-729 days) adjusted OR (aOR) = 0.49, 95% CI: 0.27-0.90, = .02] and dosage (>390,000 mg aOR = 0.44, 95% CI: 0.25-0.78, = .001) compared with no metformin use. CONCLUSIONS: Our results suggest metformin use for longer durations may be protective of NIU onset.