Treatment regimens for optimising outcomes in patients with neovascular age-related macular degeneration.

Practice patterns for neovascular age-related macular degeneration (nAMD) have evolved from the landmark registration trials of vascular endothelial growth factor (VEGF) inhibitors. Non-monthly regimens like treat-and-extend (T&E) have become popular due to their effectiveness in clinical practice. T&E regimens attempt to limit the burden of visits and treatments by allowing progressively longer treatment intervals, but in so doing, are potentially associated with the expense of treating quiescent disease. This is acceptable to many patients and their ophthalmologists but can still be problematic in the real-world. Recent studies have further refined the T&E approach by allowing for quicker and longer extension of treatment intervals when less severe disease is detected. With newer drugs offering increased durability, a shift to longer regular intervals may emerge as a new practice pattern for VEGF inhibitor therapy. This review aims to consolidate the current literature on the most effective treatment patterns and update treatment guidelines based on options that are now available. It also summarises new aspects of nAMD management that may help to further refine current practice.

Fight Retinal Blindness SPAIN. Report 3: clinical outcomes of vascular endothelial growth factor inhibitors in low vision eyes with neovascular age-related macular degeneration. A national database study.

OBJECTIVES: To compare visual outcomes for low vision eyes (LVE) (<35 letters LogMAR or <20/200 Snellen) versus non-low vision eyes (NLVE) (>35 letters LogMAR or >20/200 Snellen) at the time of the first injection in a clinical practice setting. METHODS: Subgroup analysis of a multicenter national database of treatment- naïve eyes neovascular age related macular degeneration (nAMD) treated with anti-VEGF intravitreal injections divided into LVE and NLVE. Demographics, visual acuity (VA) at baseline and subsequent timepoints (12, 24, and 36 months), number of injections and visits data were collected using a validated web-based tool (Fight Retinal Blindness!). RESULTS: 3138 eyes were included, 705 LVE and 2433 NLVE. The LVE group had the greatest VA gain (p < 0.001), at 12, 24, and 36 months (+15, +15, and +13 letters respectively). The proportion of patients with VA loss (-5 letters) differed between groups at 12, 24, and 36 and was significantly greater (p < 0.001) in NLVE. The proportion of patients with VA gain (+5 letters) was significantly higher (p < 0.001) in LVE in all timeframes. The proportions of LVE that still had VA ≤ 35 letters at 12, 24, and 36 months were 54%, 54%, and 57%. Conversely, 8%, 9%, and 8% of LVE achieved VA ≥ 70 letters at 12, 24, and 36 months. LVE received fewer intravitreal injections than NLVE throughout follow-up (6, 9, 12 vs 7, 11, 15). CONCLUSION: Findings of this study support the need for ongoing therapy in patients with initial visual acuity less than 35 letters since sustained visual improvements can be achieved and maintained for the first 3 years of treatment.

Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes.

Several studies published so far used highly selective image datasets from unclear sources to train computer vision models and that may lead to overestimated results, while those studies conducted in real-life remain scarce. To avoid image selection bias, we stacked convolutional and recurrent neural networks (CNN-RNN) to analyze complete optical coherence tomography (OCT) cubes in a row and predict diabetic macular edema (DME), in a real-world diabetic retinopathy screening program. A retrospective cohort study was carried out. Throughout 4-years, 5314 OCT cubes from 4408 subjects who attended to the diabetic retinopathy (DR) screening program were included. We arranged twenty-two (22) pre-trained CNNs in parallel with a bidirectional RNN layer stacked at the bottom, allowing the model to make a prediction for the whole OCT cube. The staff of retina experts built a ground truth of DME later used to train a set of these CNN-RNN models with different configurations. For each trained CNN-RNN model, we performed threshold tuning to find the optimal cut-off point for binary classification of DME. Finally, the best models were selected according to sensitivity, specificity, and area under the receiver operating characteristics curve (AUROC) with their 95% confidence intervals (95%CI). An ensemble of the best models was also explored. 5188 cubes were non-DME and 126 were DME. Three models achieved an AUROC of 0.94. Among these, sensitivity, and specificity (95%CI) ranged from 84.1-90.5 and 89.7-93.3, respectively, at threshold 1, from 89.7-92.1 and 80-83.1 at threshold 2, and from 80.2-81 and 93.8-97, at threshold 3. The ensemble model improved these results, and lower specificity was observed among subjects with sight-threatening DR. Analysis by age, gender, or grade of DME did not vary the performance of the models. CNN-RNN models showed high diagnostic accuracy for detecting DME in a real-world setting. This engine allowed us to detect extra-foveal DMEs commonly overlooked in other studies, and showed potential for application as the first filter of non-referable patients in an outpatient center within a population-based DR screening program, otherwise ended up in specialized care.

Correction: Díaz-Aljaro et al. Quantitative Microvascular Change Analysis Using a Semi-Automated Algorithm in Macula-on Rhegmatogenous Retinal Detachment Assessed by Swept-Source Optical Coherence Tomography Angiography. Diagnostics 2024, 14, 750.

In the original publication [...].

Quantitative Microvascular Change Analysis Using a Semi-Automated Software in Macula-off Rhegmatogenous Retinal Detachment Assessed by Swept-Source Optical Coherence Tomography Angiography.

Objective: To analyze the performance of custom semi-automated software for quantitative analysis of retinal capillaries in eyes with macula-off rhegmatogenous retinal detachment (RRD) and the role of these microvascular measures as potential biomarkers of postoperative visual outcomes. Methods: A prospective, observational, and single-center study was conducted on consecutive patients who underwent 25G pars-plana vitrectomy for primary uncomplicated macula-off RRD. Optical coherence tomography angiography (OCTA) was performed in the fellow and RRD eyes before surgery and in months 1, 3, and 6 after surgery. The preoperative values of the fellow eyes were used as surrogates of macula-off ones. The primary endpoints were the mean vessel diameter index (VDI); vessel area density (VAD); and vessel skeleton density (VSD) at month 6. Results: Forty-four eyes (44 patients) were included in the study. Considering the fellow eyes as a surrogate of preoperative values of macula-off eyes, VDI in superficial (SCP) and deep (DCP) capillary plexuses was significantly reduced at month 6 (p = 0.0087 and p = 0.0402, respectively); whereas VSD in SCP increased significantly from preoperative values (p = 0.0278). OCTA built-in software parameters were significantly reduced from month 1 to month 6 in both SCP and DCP (p values ranged between 0.0235 and <0.0001). At month 6, 25 (56.8%) eyes achieved a best-corrected visual acuity BCVA ≥ 0.3 (LogMAR). The greater the preoperative BCVA, the greater the probability of achieving good visual outcomes (Odds ratio: 11.06; p = 0.0037). However, none of the OCTA parameters were associated with the probability of achieving a BCVA improvement ≥ 0.3. Conclusions: Quantitative evaluation of capillary density and morphology through OCTA and semi-automated software represents a valuable tool for clinical assessment and managing the disease comprehensively.

Quantitative Microvascular Change Analysis Using a Semi-Automated Algorithm in Macula-on Rhegmatogenous Retinal Detachment Assessed by Swept-Source Optical Coherence Tomography Angiography.

PURPOSE: The purpose of this study was to objectively evaluate the longitudinal changes observed in the retinal capillaries in eyes with macula-on rhegmatogenous retinal detachment (RRD), assessed with optical coherence tomography angiography (OCTA), and to assess the role of these microvascular measures as potential biomarkers of postoperative visual outcomes. METHODS: This was a prospective, longitudinal study conducted on consecutive patients who underwent 25 G pars plana vitrectomy for primary RRD. The vessel area density (VAD), vessel skeleton density (VSD), and vessel diameter index (VDI) were assessed in the superficial (SCP) and deep (DCP) capillary plexuses. RESULTS: Twenty-three eyes with macula-on RRD were included in the study. The mean preoperative VDI, VAD, and VSD of the RRD eye were 18.6 ± 1.1, 0.43 ± 0.02, and 0.17 ± 0.01 in the SCP; and 18.6 ± 0.6, 0.38 ± 0.03, and 0.15 ± 0.01 in the DCP, respectively. At month 6, eight (34.8%) eyes achieved a best-corrected visual acuity (BCVA) gain ≥ 0.1 LogMAR. A preoperative VDI > 17.80, VSD > 0.170, and VDI-change > -0.395 in the SCP; and VDI > 18.11 and VDI change > -0.039 in the DCP were predictors of achieving a BCVA-gain ≥ 0.1 LogMAR. CONCLUSIONS: The preoperative VDI in SCP and DCP, the preoperative VSD in SCP, and their changes from preoperative values were predictors of visual outcomes. A quantitative OCTA analysis of capillary density and morphology may represent a potential predictive tool for surgical outcomes in RRD. The results reported in this study suggest that OCTA is a useful ancillary test for clinical disease management.

C-reactive protein-complement factor H axis as a biomarker of activity in early and intermediate age-related macular degeneration.

Purpose: To determine and compare the serum levels of complement Factor H (FH), monomeric C-Reactive Protein (mCRP) and pentameric C-Reactive protein (pCRP) in patients with age-related macular degeneration (AMD) and to correlate them with clinical, structural and functional parameters. Methods: Cross-sectional observational study. One hundred thirty-nine individuals (88 patients and 51 healthy controls) from two referral centers were included and classified into three groups: early or intermediate AMD (n=33), advanced AMD (n=55), and age and sex matched healthy controls (n=51). Serum levels of FH, mCRP, and pCRP were determined and correlated with clinical and imaging parameters. Results: Patients with intermediate AMD presented FH levels significantly lower than controls [186.5 (72.1-931.8) µg/mL vs 415.2 (106.1-1962.2) µg/mL; p=0.039] and FH levels <200 µg/mL were associated with the presence of drusen and pigmentary changes in the fundoscopy (p=0.002). While no differences were observed in pCRP and mCRP levels, and mCRP was only detected in less than 15% of the included participants, women had a significantly higher detection rate of mCRP than men (21.0% vs. 3.8%, p=0.045). In addition, the ratio mCRP/FH (log) was significantly lower in the control group compared to intermediate AMD (p=0.031). Visual acuity (p<0.001), macular volume (p<0.001), and foveal thickness (p=0.034) were significantly lower in the advanced AMD group, and choroidal thickness was significantly lower in advanced AMD compared to early/intermediate AMD (p=0.023). Conclusion: Intermediate AMD was associated in our cohort with decreased serum FH levels together with increased serum mCRP/FH ratio. All these objective serum biomarkers may suggest an underlying systemic inflammatory process in early/intermediate AMD patients.

Three-Year Outcomes of VEGF Inhibitors in Naive Branch Retinal Vein Occlusion: Fight Retinal Blindness!

PURPOSE: To evaluate the 3-year outcomes of VEGF inhibitors in the treatment of cystoid macular edema due to branch retinal vein occlusion (BRVO) in an international multicenter cohort of eyes. DESIGN: Multicenter, international, BRVO database study. SUBJECTS: Seven hundred forty-seven patients (760 eyes) undergoing intravitreal therapy for BRVO for 3 years in a multicenter international setting. METHODS: Demographics, visual acuity (VA) in logarithm of the minimum angle of resolution letters, central subfield thickness (CST), treatments, number of injections, and visits data was collected using a validated web-based tool. MAIN OUTCOME MEASURES: Visual acuity gain at 3 years in logarithm of the minimum angle of resolution letters. Secondary outcome measures included anatomical results, treatment pattern, and percentage of completers. A subgroup analysis by study drug was conducted for clinical outcomes. RESULTS: Mean adjusted VA change was +11 letters (95% confidence interval 9-13), mean adjusted change in CST was -176 µm (-193, -159). Median number of injections/visits was 16 of 24 at 3 years of follow-up. Most eyes received VEGF inhibitors exclusively (89%, n = 677) and as a monotherapy in 71% (n = 538). Few eyes were switched to steroids (11%, n = 83). Suspensions in treatment >180 days occurred in 26% of study eyes. Aflibercept showed greater CST reductions (-147 vs. -128 vs. -114 µm; P < 0.001) and significantly lower switching rates (14% vs. 38% vs. 33%; P < 0.001) compared with ranibizumab and bevacizumab, respectively. CONCLUSIONS: This international study of 3-year BRVO outcomes after starting treatment with VEGF inhibitors found adequate visual and anatomical results in routine clinical care. Visual outcomes were similar among the different initiating VEGF inhibitors, although eyes starting with aflibercept had better anatomical outcomes and a lower switching rate. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Initial response and 12-month outcomes after commencing dexamethasone or vascular endothelial growth factor inhibitors for retinal vein occlusion in the FRB registry.

To compare baseline characteristics, initial response and 12-month efficacy and safety outcomes in eyes with branch and central retinal vein occlusion (BRVO and CRVO) treated with dexamethasone implants (DEX) or anti-vascular endothelial growth factor (anti-VEGF) we performed a multi-centre, retrospective and observational study using Fight Retinal Blindness! Registry. Of 725 eligible eyes, 10% received DEX initially with very frequent adjunctive anti-VEGF (BRVO-DEX 49%, CRVO-DEX 60%). The primary outcome of mean adjusted change in VA at 12 months with DEX and anti-VEGF initiated groups were not statistically significantly different (BRVO: DEX + 6.7, anti-VEGF + 10.6 letters; CRVO: DEX + 2.8, anti-VEGF + 6.8 letters). DEX initiated eyes had fewer injections and visits than anti-VEGF initiated eyes. The BRVO-DEX eyes had greater initial mean changes in VA and central subfield thickness (CST) and achieved inactivity sooner than BRVO-anti-VEGF eyes. The mean CST after the first three months was above 350 µm in all but the BRVO-anti-VEGF group, suggesting undertreatment. In routine care DEX is uncommonly used when available as initial treatment of BRVO and CRVO requiring supplemental anti-VEGF within the first year. The 12-month outcomes were similar, but DEX initiated eyes had fewer injections and visits but more episodes of raised IOP Vs those starting anti-VEGF.

Retinal vessel volume reference database derived from volume-rendered optical coherence tomography angiography.

Optical coherence tomography angiography (OCTA) enables three-dimensional reconstruction of the functional blood vessels in the retina. Therefore, it enables the quantification of 3D retinal vessel parameters such as surface area and vessel volume. In spite of the widespread use of OCTA, no representative volume-rendered vessel volume (VV) data are published to date. In this study, OCTA 3 × 3 mm macular cubes were processed with volume-rendering techniques to measure VV in 203 eyes from 107 healthy volunteers. Generalized linear models (GLM) were constructed to assess the impact of age, gender, visual acuity (VA), spherical equivalent (SE), and axial length (AL) on VV. Overall mean VV was 0.23 ± 0.05mm3. Age and axial length showed a negative correlation with VV. However, GLM model analysis found that AL exerted the most pronounced influence on VV. No statistically significant associations were identified between gender or between left and right eyes. This is the first study to assess 3D OCTA VV and its naturally occurring variations in a large series of healthy subjects. It offers novel insights into the characterization of normal retinal vascular anatomy in healthy individuals, contributing to a valuable reference for future research in this field.

European Unmet Needs in the Management of Neovascular Age-Related Macular Degeneration in Daily Practice: Data from the Fight Retinal Blindness! Registry.

PURPOSE: To evaluate the proportion, predictors, and outcomes of patients with neovascular age-related macular degeneration (nAMD) treated with a high burden of VEGF inhibitor intravitreal (IVT) injections after 2 years in routine clinical practice. DESIGN: Retrospective analysis of data from a prospectively designed observational outcomes registry, the Fight Retinal Blindness! Project, of patients treated in European centers. PARTICIPANTS: Treatment-naïve eyes (1 eye per patient) starting VEGF inhibitors for nAMD from January 2017 to March 2020 with 24 months of follow-up. We analyzed the following 3 treatment-burden groups defined by the mean interval of the 3 closest injections to the 24-month visit: (1) those with a high-treatment burden had injection intervals ≤ 42 days, (2) those with a low-treatment burden had injection intervals between 43 and 83 days; and (3) those with tolerable treatment burden had injection intervals between 84 and 365 days. METHODS: Multinomial regression was used to evaluate baseline risk predictors of patients requiring a high-treatment burden. MAIN OUTCOME MEASURES: The proportion of patients that experienced a high-treatment burden at 2 years and its predictors. RESULTS: We identified 2038 eligible patients completing 2 years of treatment (2038/3943 patients [60%]) with a median (quartile 1, quartile 3) of 13 (10, 17) injections. The proportion of patients with a high-treatment burden was 25% (516 patients) at 2 years. Younger patients (odds ratio [OR], 0.97; 95% confidence interval [CI], 0.96-0.99; P < 0.01) were more likely to have high-treatment burden, whereas eyes with type 3 choroidal neovascular lesions at baseline were significantly less likely (OR, 0.26; 95% CI, 0.13-0.52; P < 0.01). Regarding type of fluid, patients with subretinal fluid only at baseline (OR, 3.85; 95% CI, 1.34-11.01; P = 0.01) and persistent active intraretinal (OR, 1.56; 95% CI, 1.18-2.06; P < 0.01) or subretinal fluid only (OR, 2.21; 95% CI, 1.52-3.21; P < 0.01) after the loading phase had a higher risk of high treatment burden at 2 years. CONCLUSIONS: High treatment burden is a common issue in routine clinical practice in Europe, with a quarter of patients requiring injections of conventional VEGF inhibitors every 6 weeks at 2 years and 40% discontinuing treatment within 2 years. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Macular Neovascularization Type Influence on Anti-VEGF Intravitreal Therapy Outcomes in Age-Related Macular Degeneration.

PURPOSE: To evaluate the influence of macular neovascularization (MNV) lesion type on 12-month clinical outcomes in treatment-naive eyes with neovascular age-related macular degeneration (nAMD) treated with anti-VEGF drugs nationwide. DESIGN: Multicenter national nAMD database observational study. SUBJECTS: One thousand six hundred six treatment-naive nAMD eyes (1330 patients) undergoing anti-VEGF therapy for 12 months nationwide. METHODS: Demographics, visual acuity (VA) in logarithm of the minimum angle of resolution letters, number of injections and visits were was collected using a validated web-based tool. Neovascular lesion phenotype was classified as type 1 (T1, n = 711), type 2 (T2, n = 505), type 3 (T3, n = 315), and aneurysmal type 1 (A-T1, n = 75), according to the new proposed consensus classification. MAIN OUTCOME MEASURES: Mean VA change at 12 months, final VA at 12 months, number of injections, time to lesion inactivation. RESULTS: A total of 1606 treatment-naive nAMD eyes (1330 patients) received a median of 7 injections over 12 months. Mean (± standard deviation) baseline VA was significantly lower for T2 (49.4 ± 23.5 letters) compared with T1 (57.8 ± 20.8) and T3 (58.2 ± 19.4) (both P < 0.05) lesions. Mean VA change at 12 months was significantly greater for A-T1 (+9.5 letters) compared with T3 (+3.1 letters, P < 0.05). Patients with T3 lesions had fewer active visits (24.9%) than those with other lesion types (T1, 30.5%; T2, 32.6%; A-T1, 27.5%; all P < 0.05). Aflibercept was the most used drug in A-T1 lesions (70.1%) and ranibizumab in T1 (40.7%), T2 (57.7%), and T3 (47.6%) lesions. CONCLUSIONS: This study highlights the relevance of MNV type on clinical outcomes in nAMD and reports significant differences in baseline VA, VA change, and lesion activity at 12 months. This report provides data about lesion-specific clinical features, which may guide the management of nAMD cases and potentially support personalized clinical decision making for these patients. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation.

Supervised deep learning (DL) algorithms are highly dependent on training data for which human graders are assigned, for example, for optical coherence tomography (OCT) image annotation. Despite the tremendous success of DL, due to human judgment, these ground truth labels can be inaccurate and/or ambiguous and cause a human selection bias. We therefore investigated the impact of the size of the ground truth and variable numbers of graders on the predictive performance of the same DL architecture and repeated each experiment three times. The largest training dataset delivered a prediction performance close to that of human experts. All DL systems utilized were highly consistent. Nevertheless, the DL under-performers could not achieve any further autonomous improvement even after repeated training. Furthermore, a quantifiable linear relationship between ground truth ambiguity and the beneficial effect of having a larger amount of ground truth data was detected and marked as the more-ground-truth effect.

Artificial intelligence-based fluid quantification and associated visual outcomes in a real-world, multicentre neovascular age-related macular degeneration national database.

AIM: To explore associations between artificial intelligence (AI)-based fluid compartment quantifications and 12 months visual outcomes in OCT images from a real-world, multicentre, national cohort of naïve neovascular age-related macular degeneration (nAMD) treated eyes. METHODS: Demographics, visual acuity (VA), drug and number of injections data were collected using a validated web-based tool. Fluid compartment quantifications including intraretinal fluid (IRF), subretinal fluid (SRF) and pigment epithelial detachment (PED) in the fovea (1 mm), parafovea (3 mm) and perifovea (6 mm) were measured in nanoliters (nL) using a validated AI-tool. RESULTS: 452 naïve nAMD eyes presented a mean VA gain of +5.5 letters with a median of 7 injections over 12 months. Baseline foveal IRF associated poorer baseline (44.7 vs 63.4 letters) and final VA (52.1 vs 69.1), SRF better final VA (67.1 vs 59.0) and greater VA gains (+7.1 vs +1.9), and PED poorer baseline (48.8 vs 57.3) and final VA (55.1 vs 64.1). Predicted VA gains were greater for foveal SRF (+6.2 vs +0.6), parafoveal SRF (+6.9 vs +1.3), perifoveal SRF (+6.2 vs -0.1) and parafoveal IRF (+7.4 vs +3.6, all p<0.05). Fluid dynamics analysis revealed the greatest relative volume reduction for foveal SRF (-16.4 nL, -86.8%), followed by IRF (-17.2 nL, -84.7%) and PED (-19.1 nL, -28.6%). Subgroup analysis showed greater reductions in eyes with higher number of injections. CONCLUSION: This real-world study describes an AI-based analysis of fluid dynamics and defines baseline OCT-based patient profiles that associate 12-month visual outcomes in a large cohort of treated naïve nAMD eyes nationwide.

Reasons for Delayed Anti-VEGF Treatment During COVID-19 Lockdown and Clinical Impact in Neovascular Age-Related Macular Degeneration.

INTRODUCTION: Timely anti-vascular endothelial growth factor (VEGF) treatment is crucial for visual function in neovascular age-related macular degeneration (nAMD). The aim of this study was to assess the reasons for anti-VEGF treatment delay during the COVID-19 lockdown and its clinical impact in patients with nAMD. METHODS: A retrospective, observational, multicentre study in patients with nAMD treated with anti-VEGF therapy was performed in 16 centres nationwide. Data were retrieved from the FRB Spain registry, patient medical records and administrative databases. Patients were divided into two groups based on whether they received or missed intravitreal injections during the COVID-19 lockdown. RESULTS: A total of 302 eyes from 245 patients were included (timely treated group [TTG] 126 eyes; delayed treatment group [DTG] 176 eyes). Visual acuity (VA; ETDRS letters) decreased from baseline to post-lockdown visit in the DTG (mean [standard deviation] 59.1 (20.8) vs. 57.1 (19.7); p = 0.020) and was maintained in the TTG (64.2 [16.5] vs. 63.6 [17.5]; p = 0.806). VA worsened by an average of - 2.0 letters in the DTG and by - 0.6 in the TTG (p = 0.016). A higher proportion of visits were cancelled due to hospital overload in the TTG (76.5%) than in the DTG (47%), and a higher proportion of patients missed visits in the DTG (53%) than in the TTG (23.5%, p = 0.021), with fear of COVID-19 infection being the main reason for missed visits (60%/50%). CONCLUSIONS: Treatment delays were caused by both hospital saturation and patients' decision; the latter being mainly driven by fear of COVID-19 infection. These delays had a detrimental effect on the visual outcomes in nAMD patients.

Validation of collaborative cyberspace virtual reality oculometry enhanced with near real-time spatial audio.

Currently, most medical image data, such as optical coherence tomography (OCT) images, are displayed in two dimensions on a computer screen. Advances in computer information technology have contributed to the growing storage of these data in electronic form. However, the data are usually processed only locally on site. To overcome such hurdles, a cyberspace virtual reality (csVR) application was validated, in which interactive OCT data were presented simultaneously to geographically distant sites (Lucerne, London, and Barcelona) where three graders independently measured the ocular csVR OCT diameters. A total of 109 objects were measured, each three times, resulting in a total of 327 csVR measurements. A minor mean absolute difference of 5.3 µm was found among the 3 measurements of an object (standard deviation 4.2 µm, coefficient of variation 0.3% with respect to the mean object size). Despite the 5 h of online work, csVR was well tolerated and safe. Digital high-resolution OCT data can be remotely and collaboratively processed in csVR. With csVR, measurements and actions enhanced with spatial audio communication can be made consistently in near real time, even if the users are situated geographically far apart. The proposed visuo-auditory framework has the potential to further boost the convenience of digital medicine toward csVR precision and collaborative medicine.

Save our Sight (SOS): a collective call-to-action for enhanced retinal care across health systems in high income countries.

With a growing aging population, the prevalence of age-related eye disease and associated eye care is expected to increase. The anticipated growth in demand, coupled with recent medical advances that have transformed eye care for people living with retinal diseases, particularly neovascular age-related macular degeneration (nAMD) and diabetic eye disease, has presented an opportunity for health systems to proactively manage the expected burden of these diseases. To do so, we must take collective action to address existing and anticipated capacity limitations by designing and implementing sustainable strategies that enable health systems to provide an optimal standard of care. Sufficient capacity will enable us to streamline and personalize the patient experience, reduce treatment burden, enable more equitable access to care and ensure optimal health outcomes. Through a multi-modal approach that gathered unbiased perspectives from clinical experts and patient advocates from eight high-income countries, substantiated perspectives with evidence from the published literature and validated findings with the broader eye care community, we have exposed capacity challenges that are motivating the community to take action and advocate for change. Herein, we propose a collective call-to-action for the future management of retinal diseases and potential strategies to achieve better health outcomes for individuals at-risk of, or living with, retinal disease.

The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus.

PURPOSE OF REVIEW: The aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic. RECENT FINDINGS: Most of the AI models described in the literature have not been approved for disease management purposes by regulatory authorities. These new technologies are promising as they may be able to provide personalized treatments as well as a personalized risk score for various retinal diseases. However, several issues still need to be addressed, such as the lack of a common regulatory pathway and a lack of clarity regarding the applicability of AI-enabled medical devices in different populations. SUMMARY: It is likely that current clinical practice will need to change following the application of AI-enabled medical devices. These devices are likely to have an impact on the management of retinal disease. However, a consensus needs to be reached to ensure they are safe and effective for the overall population.

Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus.

PURPOSE OF REVIEW: The application of artificial intelligence (AI) technologies in screening and diagnosing retinal diseases may play an important role in telemedicine and has potential to shape modern healthcare ecosystems, including within ophthalmology. RECENT FINDINGS: In this article, we examine the latest publications relevant to AI in retinal disease and discuss the currently available algorithms. We summarize four key requirements underlining the successful application of AI algorithms in real-world practice: processing massive data; practicability of an AI model in ophthalmology; policy compliance and the regulatory environment; and balancing profit and cost when developing and maintaining AI models. SUMMARY: The Vision Academy recognizes the advantages and disadvantages of AI-based technologies and gives insightful recommendations for future directions.