Deep Learning Artificial Intelligence in Vision-Threatening Disease in Clinical and Community Screenings

Purpose : Age-related macular degeneration (AMD), diabetic retinopathy (DR), and glaucoma are vision-threatening diseases (VTDs) affecting 36 million people in the USA. With 5.7 ophthalmologists per 100,000 Americans, over 50% of VTDs go undetected. We assessed deep learning Artificial Intelligence (DLAI) in VTD detection in community and clinical settings. Methods : 223 subjects (mean age 54.6, 58% male) from community screenings (A) and clinic (B) underwent 45-degree retinal imaging. In A (non-dilated), an onsite telemedicine reader (R1) and remote ophthalmologist (R2) graded image quality (gamma and alignment, 1-5 scale) and referable VTD using the international grading scales for AMD and DR, and cup-to-disc ratio and nerve fiber layer for glaucoma. In B (dilated), gradings were collected from R1 and the clinical diagnosis (d). A senior ophthalmologist (R3) adjudicated disputed findings. In A, DLAI VTD referral was compared to R1/R2/R3 consensus (S);in B, overall referral was compared to R1/d/R3 consensus (C). Images were uploaded to a cloud-based DLAI (SELENA+, EyRIS Pte Ltd) (Fig 1). Cohen's kappa assessed intergrader agreement. Results : R1 and R2 found 4.7% eyes ungradable. DLAI marked 55.6% ungradable;74.6% of them were for AMD. Of the DLAI ungradable eyes, image quality was ≤ 3, and 56.2% had ≥ 1+ cataract (R1). Compared to in A, in B DLAI had higher sensitivity (97.1% vs. 63.2%) and positive predictive value (69.4% vs. 32%). In A, DLAI had higher specificity (94.5% vs.16.7%) and negative predictive value (98.4% vs. 75.0%) (Table 1). In A, Cohen's kappa was 0.946 between R1 and R2, with a 13% disagreement rate. In 56% of the disagreements, R3 agreed with R1. In B, Cohen's kappa was 0.874 for R1 and d;R1 referred more than d. In A and B, DLAI referred more than R1, R2, and H/C. DLAI referred all eyes with > 1 VTD (1%) for further examination. Grading times for DLAI, R1, and R2 were 30, 129, and 68 seconds. Conclusions : DLAI performed best in DR and glaucoma detection;a potential solution for the high ungradable rate can be for DLAI to re-center uploaded images. DLAI can increase efficiency and accessibility of screenings for multiple VTDs, in both underserved populations and clinic. The ability to minimize direct contact confers an advantage during COVID-19. Further studies will investigate DLAI use in VTD progression.

Provision of Reading Glasses During Underserved Community-Based Tele-Ophthalmology Screenings

Purpose : The most common cause of blurry vision in the United States is refractive error. Despite being a correctable condition, over 8.2 million people are estimated to have their refractive error go undiagnosed or untreated. Minorities and low-income groups in particular have significantly increased odds of inadequate correction and double the rates of near-vision impairment. We aimed to address this gap in care through the provision of refractive glasses during community-based tele-ophthalmology screenings. Methods : Eight free eye screening events were held in Newark and West New York, NJ. Demographic information, intraocular pressure, visual acuity, auto-refraction, retinal imaging, and optical coherence tomography were obtained from each subject as part of a comprehensive tele-ophthalmology protocol. Reading glasses were provided as needed based on the recommendation of a certified telemedicine reader. Eligible recipients completed surveys on site regarding access to eye care. They were surveyed again by phone after one month to assess degree of satisfaction and vision improvement. Results : 38 subjects (mean age 53, 47% male) qualified for presbyopia correction and received reading glasses. 97% were Hispanic and 3% were African American. Of the 33 that returned surveys, 88% reported not seeing an eye doctor annually. The most common reason was lack of insurance or inability to pay (71%). Others included having no need to see an eye doctor (10%), disliking eye doctors (7%), not knowing the importance of regular eye exams (3%), and COVID-19 (3%). Of the 25 subjects that were reached for follow-up, 92% reported using the glasses daily. Those that did not reported the power was too strong or they did not feel they needed them. Subjects noted an average improvement in vision of 4.4 out of 5 and an average satisfaction of 4.7 out of 5 (Figure 1). Conclusions : Glasses distribution is an effective way to address refractive error in underserved communities. Given the gaps in knowledge and utilization of eye care identified in our study, there is an obvious need for continued outreach to these areas. Further studies will include larger populations and evaluate mobile refraction devices to increase ease and reach of glasses provision.

Automated Puff Tonometry in Comprehensive Community Based Screening for Vision Threatening Diseases during SARS-CoV-2

Purpose : Over 50% of individuals with vision-threatening disease (VTD) (e.g., diabetic retinopathy, glaucoma, macular degeneration) are unaware of their condition, and once diagnosed, 80% will not follow up for clinical care, especially since the onset of SARS-CoV-2 in 2020. Remote teleophthalmology with real-time robotic teleconsultation was implemented to include automated puff-tonometry (APT) as pre-triage to identify patients who require more detailed clinical assessment and treatment. Methods : 224 subjects (58% male) of average age 55 years were screened over 8 events. Following COVID-19 protocols screenings took place in New Jersey churches and health fairs featuring a high prevalence of African American and Hispanic subjects. Masked and self-reported vaccinated subjects underwent medical history, blood pressure, visual acuity (with pinhole), automated puff-tonometry (APT) for intraocular pressures (IOP), automated refraction, non-mydriatic retinal imaging, optical coherence tomography (OCT), and wearable visual field device (WVFD) testing. Face masks were fitted with surgical tape on the nose bridge to limit instrument fogging. To minimize equipment contact, all subjects were screened in the standing position, including APT and retinal imaging (Fig.1). Chi-square and t-tests were performed to assess factors associated with glaucoma referral. Subjects without IOP readings were excluded;significance was set at p<0.05. Results : 10.29% of measured eyes had an IOP>18 and underwent additional testing including OCT-B of the optic nerve head, nerve fiber layer, and ganglion cell complex. 31.43% of eyes with IOP>18 underwent teleconsultation with a glaucoma specialist, vs. 8.85% of eyes with IOP≤18 ((p<0.001), Table 1). The difference in mean age in subjects with glaucoma referral vs. without (57.42 vs. 51.61 years) was significant (p=0.008). Conclusions : APT was useful in supporting on-site OCT-B imaging and WVFD referral (37.67%, 8.52% of total subjects) that yielded 17.94% referral to on-site teleconsultation through a real-time telerobot. Future investigation will include larger and more diverse community-based populations.

Community Based Eye Screenings Using Retinal and OCT-B Combination Imaging in Glaucoma During COVID-19

Purpose : Retinal imaging is the gold standard in tele-ophthalmology. Limitations in twodimensional imaging can lead to poor triage or unnecessary clinical referrals, especially during COVID-19. Combined retinal imaging with Optical Coherence Tomography-B scan (OCT-B) in detecting vision threatening diseases (VTDs) such as glaucoma in communitybased screenings adds a third dimension to subject data. Methods : A non-mydriatic Topcon 3D Maestro1 imaging system was deployed in this pilot study to screen 120 subjects (43.3% male, mean age 55.1) in community-based screenings. Measurements of vertical cup-to-disc ratio (VCDR), nerve fiber layer (NFL) thickness and macular and ganglion cell layer (GCL) thickness were collected along with color retinal images by the Maestro1. Visual acuity and intraocular pressures (IOP) were obtained as part of the screening protocol. Four types of OCTs were acquired: 78.33% 3D Wide, 13.33% 3D Macula, 5.83% 3D Disc, and 2.51% 5-Line Cross. An on-site certified reader (CR) interpreted results and provided consultation follow-up to a remote ophthalmic subspecialist. Results : Of 222 eyes, OCT-B confirmed follow-up in 86.94%. 88.3% of subjects had referable eye pathology: 23.33% to general or specialty eye clinic and 65% to telemedicine. CR glaucoma referral based on OCT-B scan, VCDR and NFL defects was compared to OCT-B referral based on VCDR ≥0.65. Cohen's kappa was 0.546 with 30% disagreement. Compared to CR, OCT-B generated VCDR had a 91.1% specificity and 42.3% sensitivity in detecting glaucoma. VCDR, IOP, NFL, and GCL measurements were significantly correlated with CR glaucoma referral (p<0.05). Only VCDR, NFL, and GCL were significantly correlated with Maestro 1 glaucoma referral (p<0.05). Conclusions : OCT-B images provide valuable added diagnostic information about referrals in glaucoma. Its ability to capture greater depth of information about the eye, such as NFL and GCL measurements, compared to traditional two-dimensional retinal photography, warrants consideration for OCT-B as a replacement for non-mydriatic retinal photography as the gold standard in ophthalmic diagnostics. Further studies can investigate the utility trend analysis of OCT-B in predicting VTD's progression over time.

Robotic Telepresence Consults in Underserved Community-Based Vision Threatening Disease Screenings During COVID-19

Purpose : Vision Threatening Diseases (VTDs) (age-related macular degeneration, cataracts, diabetic retinopathy, glaucoma) affect 36 million individuals in the United States. 50% are unaware they have a VTD, disproportionally affecting minorities and lowincome groups with less access to eye care. While screening programs in underserved communities result in early detection, less than half of subjects with findings follow up with a specialist. This number is four times lower during COVID-19. Methods : Robotic Telepresence (RT) was implemented in this pilot study during COVID19 to increase real-time access to specialist care. 58 subjects (age 56, 45% male) underwent a non-mydriatic screening protocol over five screenings. They were divided into three groups for consult: In Person (IP) followed by RT (N = 21), RT followed by IP (N = 19), and IP only (N = 18). IP consult was done by an on-site certified reader. RT consult was done by an off-site glaucoma or retina specialist with access to blood pressure, visual acuity, intraocular pressure, 45° retinal images, and ocular coherence tomography Bscans via cloud-based software. Video connection for RT was established via HIPAAcompliant mobile hotspot. Subject demographics and preferences were collected afterwards via survey. Results : Of 40 RT consults, 26 were second opinion for VTD suspect and 14 were wellness encounters. 24 reported their last eye care visit >3 years ago or never. Following RT consult, 18 subjects received one or multiple VTD diagnosis and 3 with glaucoma were referred for pressure-lowering eye drops. In the group with IP consult first, preferences were 5% RT, 52% IP, and 43% none. In the group with RT consult first, preferences were 5% RT, 58% IP, and 37% none. There was no significant difference in number of questions asked, wait time, or encounter length between IP and RT consults. Conclusions : RT consults proved valuable in community-based VTD screenings, particularly during COVID-19 when access to eye care is further limited. Most subjects preferred IP. However subjects with VTD that face socioeconomic barriers benefit from immediate RT consult and management directives from remote subspecialists. Further studies should incorporate consults from additional specialties (endocrinologists, general practitioners, social workers) and include telehealth CPT code for reimbursement.

Utility of Remote Point-Of-Care Tele-Retinal Imaging for Screening and Diagnosis of Diabetic Retinopathy: A Pilot Study

Purpose : In the COVID-19 era, tele-retinal technologies are rising to the forefront of contactless ophthalmic care. Point-of-care Optical Coherence Tomography (OCT) and fundus photography remotely analyzed by an off-site retina specialist (tele-R) must be validated for screening retinal disorders. This study assesses the feasibility of tele-R as a screening tool for diabetic retinopathy (DR) in an outpatient clinical setting. Methods : A retrospective study was conducted on 16 patients (32 eyes, 28 with DR, and 4 controls) presenting to the retina clinic (RC) of an urban academic medical center. Automated OCT-B and 45 fundus photographs of the posterior pole were taken using a Topcon Maestro 3D OCT-1 unit, and 3D topographical maps of the macula were generated. Images were transmitted to a remote retina specialist (blinded to patient history and demographics) who assessed severity of DR and diabetic macular edema (DME). Primary outcomes included grading of DR and DME with fundus and OCT-B images, respectively, using the International Clinical Diabetic Retinopathy classification scale. The secondary outcome was identifying the severity grade of DME using the 3D macular map. Concordance was tested between diagnoses obtained from tele-R assessment and in-person examination by the retina specialist (gold standard) using Cohen's Kappa statistic (κ). Eyes that could not be assessed were removed from analysis. Results : 30 of 32 eyes with sufficient data for analysis were included. The average age was 57.9 (±11.2) years. 37% of patients were male, 69% were Hispanic, and 94% had Type 2 diabetes. The κ±standard error (SE) for DR severity was 0.738±0.099 (p<0.001), for DME severity was 0.588±0.122 (p<0.001), and for presence of DME was 0.727±0.122 (p<0.001). The retina specialist was able to grade the DME severity in only 10/14 (71%) eyes using the 3D macular map alone, but in 93% (13/14) eyes with OCT-B images. Conclusions : Tele-R is a reliable modality for diagnosis of DR severity;there was substantial agreement on identifying DR severity using tele-R vs in-person examination. There was substantial agreement in discerning DME using tele-R vs in-person while only moderate agreement on determining the severity of DME, which suggests that tele-R may useful in identifying presence of DME but not determining the severity of edema.

Validation of portable slit lamp videos and anterior segment photographs as telemedicine modalities

Purpose : The COVID-19 pandemic has highlighted the need for telemedicine across all specialties. Though its utilization has increased since the start of the pandemic, ophthalmology has been reported to be among the specialties least likely to utilize telemedicine in practice. We evaluated the potential utility of portable slit lamp exam (SLE) videos and anterior segment photos as telemedicine modalities by comparing the findings from these modalities to those identified in-person in the clinic. Methods : Data was collected from 98 subjects at Rutgers Institute of Ophthalmology and Visual Science by non-ophthalmic trained staff, which included portable SLE videos and anterior segment photos, collected with Microclear digital hand-held slit lamp (Suzhou, China) and Canon non-mydriatic retinal camera CR-2 Plus AF (Tokyo, Japan), respectively. Analysis included anterior segment photos taken from 92 patients (183 eyes) and SLE videos taken from 91 patients (177 eyes), which were interpreted and compared to exam findings identified in-person in the clinic. Sample t-tests were used for statistical analysis. Results : Nuclear sclerotic cataract (NSC) had the most agreement between telemedicine interpretation and in-person exam (photo 93.8%, video 93.75%). Cortical cataract showed less agreement (photo 65.63%, video 45.16%) and posterior subcapsular cataract (PSC) showed the least agreement (photo 8.33%, video 0%) among cataract findings. Cornea findings were among those least likely to be identified (photo 12.5%, video 14.86%). Findings that showed statistically significant differences between photo and video included pinguecula (p=0.00032). PSC (p=0.044) and posterior capsule opacification (p=0.00098) showed statistically significant differences regarding identifying findings on telemedicine interpretation that were not documented in clinic. Conclusions : Portable SLE videos and anterior segment photos may have potential for utility as means of telemedicine, particularly for NSC. Portable SLE requires more training to display a full ophthalmic exam whereas photographs can easily be done by non-ophthalmic trained staff, displaying similar findings. Differences in exam findings may be attributed to lack of documentation when patients present to the clinic for more urgent concerns and lack of focus on slit lamp videos by non-ophthalmic trained staff. (Figure Presented).

Use of Resident Tele-Ophthalmic Diagnosis to Aid in Management of VisionCompromising Retinal Pathology

Purpose : In recent years, innovations in tele-ophthalmology have shown promise in providing quality ophthalmic care to patients in low-access settings and high-risk environments such as the COVID-19 pandemic. Emergency departments and urgent centers may benefit from tele-ophthalmology applications;the tele-images can be sent to the covering ophthalmologist or, to another ED for evaluation of images prior to transferring the patient. In this study, we aimed to assess the ability of resident physicians to identify features of posterior-pole retinal pathology using teleophthalmology. Methods : Retrospective study on 16 patients (32 eyes;30 with retinal pathology and 2 controls) who presented to a retina clinic at an academic medical center. Automated OCT-B images with 3D topographic maps and fundus photographs of the posterior pole using a Topcon Maestro 3D OCT-1 unit were taken. Images were transmitted remotely to a resident physician who attempted to identify retina pathology using fundus photography and OCT. The same images were consequently evaluated by a retina specialist for grading. We then tested the concordance between diagnoses rendered via tele-OCT by the resident physician and the gold standard clinical examination (performed by the retina specialist) using Cohen's Kappa statistic (κ). Results : An overall average of 79.9% concordance for 69 potential findings was obtained between the retina attending's diagnosis with clinical examination and the resident physician's diagnosis using tele-OCT/fundus images based on Cohen's Kappa statistic (κ). The concordance was lower in eyes with vitreous hemorrhage most likely due to the inferior quality fundus and OCT-B images. The resident exam also identified the presence of any macular pathology in all 30 eyes with macular pathology and correctly identified the controls, indicating 100% sensitivity for identifying abnormal findings using tele OCT/fundus images. Conclusions : This study verifies the utility of resident screening of tele-OCT fundus and OCT-B images to identify retinal pathology. Tele-ophthalmology likely has a useful role in triaging retinal pathology whose outcomes could be affected by timely intervention. Many unnecessary emergency transfers may be avoided if the on-call ophthalmology residents are able to review the fundus and OCT images before hand.

Agreeability of Tele-ophthalmology and Artificial Intelligence-Based Diagnosis of Diabetic Retinopathy

Purpose : The COVID-19 pandemic exposed the need for increased mobilization of teleophthalmology resources. Artificial intelligence (AI) may serve as a tool to assist physicians in triaging highest need patients if the AI's assessment of disease is comparable to the physician's assessment. This study assesses the ability of AI software to diagnose diabetic retinopathy (DR) as compared to Tele-ophthalmology and in-person examination by a retina specialist. Methods : Records of forty patients (average age 55.1±10.9 years) presenting to an urban retina clinic were reviewed retrospectively for factors including demographics, retinal photos taken by Canon CR-2 Plus AF Retinal Imaging camera (Tokyo, Japan), and diagnosis of DR based on the International Clinical Diabetic Retinopathy (ICDR) classification scale during an in-person clinic visit in which a fundus exam was performed. Retinal photos were graded by AI software, EyeArt (EyeNuk, CA), as Normal, Mild DR, or More than Mild DR. Retinal images were also graded remotely by a retina specialist using the ICDR classification scale via TeamViewer software (Tele). Agreement between Tele, AI, and inperson DR diagnosis was assessed using Cohen's Kappa (κ) coefficient using IBM® SPSS® Statistics software. Results : Among 80 eyes, 33 were diagnosed in-person with no DR, 5 with mild nonproliferative DR (NPDR), 9 with moderate NPDR, 3 with severe NPDR, 7 with proliferative diabetic retinopathy (PDR), and 23 with regressed PDR. Eleven and 26 eyes could not be graded by Tele or AI, respectively. κ±SE for in-Person diagnosis vs Tele was 0.859±0.058 (p<.001), in-person vs AI was 0.751±0.082 (p<.001), and Tele vs AI was 0.883±0.063 (p<.001). Conclusions : AI is a reliable tool for screening patients for DR and referring them for physician evaluation since AI had a substantial rate of agreement with the in-person diagnosis and near perfect agreement with Tele. Tele grading was in near perfect agreement with the in-person diagnosis, showing that Tele is a reliable option for a physician to remotely screen patients that may be ungradable by AI. However, improvements are needed due to the high number of images that are ungradable via Tele and AI. Further studies should assess ways to reduce the number of ungradable images via Tele and AI and create a trend analysis for multiple visits for a given patient.

Telemedicine Vision Threatening Diseases and Wellness Screenings in Uninsured Latino Community During COVID-19

Purpose : Limited access to eye-care among Latinos can lead to missed Vision Threatening Diseases (VTDs) defined as Age-related Macular Degeneration (AMD), cataracts, Diabetic Retinopathy (DR) and glaucoma. As 50% of the people with VTD's are unaware of their condition made worse during COVID-19, comprehensive eye screenings to assess ocular wellness was implemented using telemedicine, Artificial Intelligence (AI) and robotic consultations. Methods : State-sponsored screenings were conducted at a church in West New York, NJ (78% Latino, mostly from Colombia) over 3 weekends during the 2021 Pandemic. All participants had received two-dose vaccinations and wore a surgical mask during screenings. Nine first-year medical students and 6 community volunteers took part in the wellness evaluation including: medical history, blood pressure, visual acuity, automated refraction, puff tonometry, 45-degree non-mydriatic retinal photography AI. To confirm findings: 6-micron resolution ocular coherence tomography (OCT) B-scan was performed. Screened subjects had their data reviewed by an onsite ophthalmic grader using a Spanish-speaking interpreter. As 80% of screened subjects are lost to follow-up, remote robotic ophthalmology consultation via HIPAA compliant Wi-Fi was utilized in real-time to connect with an off-site ophthalmologist. Results : 153 subjects, (71 Female (46%), median age 55) had 127 ocular findings (Table 1) found in 85 (55%) subjects, of which 98% of findings were previously unknown and 40 (47%) classified as VTD. 23(15%) subjects had multiple findings. OCT confirmed 23 cases of AMD and glaucoma. AI referred 39 cases. 36 individuals took part in robotic virtual consults. Findings were: cataracts 70 (45%), glaucoma 32 (20%), and AMD 25(16%). Among those with findings, 82% were uninsured and 90% had >2 years since last eye exam. 32 (32/153) subjects had undertreated or untreated hypertension. 93% were un-familiar with telemedicine. Conclusions : Latinos without health insurance and ease of access to eyecare may have a higher burden of multi-VTDs. An exception was DR which could be a limitation of population bias. This pilot study supports comprehensive wellness eye screenings that may allow for early detection, confirmation, and referral of single or multiple VTD in high-risk low-income communities. Further studies are needed using larger sample populations. (Figure Presented).

Sensitivity of tele-ophthalmic diagnosis of diabetic retinopathy when performed by resident physicians

Purpose : During the Covid-19 era, understanding the benefits and limitations of tele-ophthalmology has become increasingly important. In this study, we aim to assess the accuracy of tele-ophthalmic diagnosis of diabetic retinopathy (DR) and diabetic macular edema (DME) when performed by resident physicians. Methods : Retrospective study on 16 patients (32 eyes;28 DR and 4 controls) who presented to a retina clinic at an academic medical center. Automated OCT-B images with 3D topographic maps and fundus photographs of the posterior pole using a Topcon Maestro 3D OCT-1 unit were taken. Images were transmitted remotely to a resident physician who assessed the severity of the DR and DME on the basis of the fundus photographs and OCT. The same images were transmitted to a retina specialist for grading. Primary outcomes included DR and DME grade as defined by the International Clinical Diabetic Retinopathy classification scale. We then tested the concordance between diagnoses rendered via tele-OCT by the resident compared to the retina attending's remote diagnosis and the gold standard retina specialist's clinical examination using Cohen's Kappa statistic (κ). Results : Agreement between ophthalmology residents and attendings on tele-OCT diagnosis of DR was substantial (78% concordance on presence and 75% on severity), while agreement on identifying and grading edema was moderate (60% concordance on DME presence and 52% concordance on overall DME severity). Detection of DR by residents via tele-retinal imaging is highly sensitive (100% sensitivity), while detection of DME is highly specific (79-95% specificity). Discordance between residents and attendings on DME grading may owe to differences in opinion regarding what constitutes mild edema versus no edema;however, both concordance and predictive accuracy increase when identifying patients with moderate to severe DME. Conclusions : This study provides proof of principle for the sensitivity and specificity for remote diagnosis of DR via tele-OCT fundus and OCT-B images. This technology may be useful in identifying patients at risk of severe vision loss and enable early detection of patients who need referral for prompt treatment. These findings may be particularly relevant to training programs looking to implement tele-retinal diabetic screening or using tele-OCT where prompt access to a retina specialist may not be possible.

Virtual Reality Visual Field Exam in Community Screenings During COVID-19

Purpose : 57.5 million people worldwide are affected by glaucoma. However, 50% of those with glaucoma are unaware, and 80% of those identified for follow-up in community screenings (CS) fail to do so. Current standards of visual field testing are usually limited to the clinic. As such, a wearable perimetry headset was used to perform Virtual Reality Visual Field Acuity (VRVFA) examination for suspected visual field loss in the community minimizing exposure to COVID-19 and the need for follow-up. Methods : 31 subjects from 4 CS were screened by an onsite certified telemedicine reader (CR) who considered family history, visual acuity, intraocular pressures, cup-to-disc ratio, nerve fiber layer defects, and ganglion cell complex captured by non-mydriatic photography and ocular coherence tomography (OCT-B). Cataracts were also graded. Supervised VRVFA testing with a multilingual Palmscan VF2000 Analyzer (Fig.1) was performed in 6 minutes on average. Eyes with fixation losses >20% or false positive/negative ratios >0.375 were excluded. Visual field index (VFI), mean deviation (MD), pattern standard deviation (PSD), and mean sensitivity (MS) from VRVFA were compared to CR glaucoma referral and cataract grading. Descriptive statistics, independent samples t-tests, and Mood's median tests were performed. Subjects with positive findings underwent same-day robotic glaucoma specialist telepresence evaluation. Results : 37 eyes from 31 subjects met inclusion criteria (mean age 51.42 ± 14.57 years, 56.76% male, 94.59% Hispanic). 7 (18.92%) eyes were referred for glaucoma evaluation. Glaucoma referrals had significantly different VFI (66.86% vs 86.40%, p=0.027), MD (-9.60 vs -4.04, p=0.031), and MS (19.94 vs 26.01, p=0.027) (Fig. 2). 30 (81.08%) eyes were 0-1+ in cataract grading, 5 (13.51%) were 2-3+, and 2 (5.41%) were intra-ocular lenses (IOL);respectively, these subgroups were not significantly different in VFI (84.20% vs 92.80% vs 35.00%, p=0.147), MD (-4.70 vs -2.11 vs -18.41, p=0.147), PSD (3.52 vs 2.25 vs 9.69, p=0.053), or MS (25.38 vs 27.75 vs 9.91, p=0.147) (Fig. 2). Conclusions : VRVFA testing yielded valuable information on the extent of vision loss as a supportive screening tool for glaucoma congruent with referrals. Expanded testing is needed. Future studies may evaluate VRVFA utility in evaluating other peripheral vision threatening diseases.

Comprehensive tele-ophthalmology screening in vision threatening diseases during COVID-19

Purpose : Vision Threatening Diseases (VTD) (age-related macular degeneration [AMD], cataract, diabetic retinopathy [DR], and glaucoma) account for 37% of all blindness. Screening and follow-up are crucial in preserving vision. During COVID-19, clinics reduced access, using telemedicine for diagnosis and follow-ups. The efficacy of remote screening and triage in the management of single or multiple VTDs was evaluated. Methods : We screened 41 subjects (19-85 years, 37% male, 17% Caucasian) (20 controls, 21 subjects). Demographics, 45-degree retinal photos, ganglion cell complex (GCC), and optic nerve head (ONH) images were collected using a non-contact puff-tonometer, nonmydriatic retinal camera, and an OCTA. Demographics and images were transmitted to two readers (onsite telemedicine screener [TS] and remote ophthalmologist [RO]) for triage. Triage was categorized: immediate referral to specialist, follow-up in person via clinic or telemedicine visit, or no follow-up necessary during COVID. Results : TS made 19 referrals (46%), 6 in person follow-ups (15%), 15 no follow-ups (37%);RO made 17 referrals (41%), 2 in person follow-ups (5%), 22 no follow-ups (54%). TS identified 12 subjects as possible VTD(s) while RO identified 11 subjects. TS and RO agreed on 8 glaucoma, 7 cataract, 3 DR, and 3 and 2 AMD cases, respectively. Glaucoma was identified using IOPs, retinal fundoscopy, and OCT imaging. Mean intraocular pressures were 12.9 and 15.7 (OD, OS) in glaucoma and 14.2 and 14.0 in controls. Fundoscopy was used for overall retinal health while OCT images were used to analyze GCC, ONH, nerve fiber layer, cup to disc ratio, and anterior chamber angles. AMD and DR were identified by fundoscopy and OCT imaging. 11 of the subjects were known clinic patients;both RO and TS referred all 11 to specialty clinics, matching the in-person clinic management. Conclusions : During the COVID pandemic, triaging patients can minimize person-toperson contact and help control the spread of the virus. Both readers agreed on the management and triage of a variety of patients with TS and RO differing only on 2 referrals and 4 in person follow-ups. Telemedicine is a promising alternative to in-person patient care for management and triage of vision threatening diseases. Further enrollment and follow-up are needed to increase robustness.

Vision threatening disease triage using teleophthalmology during COVID-19 in the emergency department: A pilot study

Purpose : The Centers for Disease Control reports 28.2% of surveyed US adults had reduced access to medical care (June/August 2020) due to the COVID-19 pandemic, with 8.9% reporting reduced access to vision care. A non-mydriatic digital retinal camera was piloted for deployment to the Emergency Department (ED) to help address this gap in vision care. Referrals for clinical follow-up in vision threatening diseases (VTDs) such as age-related macular degeneration, cataracts, diabetic retinopathy (DR), and glaucoma were assessed with human readers. Artificial Intelligence (AI) deep learning software was evaluated in known DR cases. Methods : 33 patients with known VTDs (48.48% male, avg 59.33 years) and 36 control subjects (41.67% male, avg 31.33 years) were included in tele-ophthalmology screening. A Canon CR-2 Plus AF non-mydriatic retinal camera captured 45-degree angle color and auto-fluorescence images of the eyes. Images (136 eyes) were graded by a certified telemedicine reader on site and an off-site clinical ophthalmologist following International Clinical Diabetic Retinopathy Disease Severity Scale (ICDRSS). Intergrader agreement between readers was evaluated with Cohen's kappa. An automated deep learning screening software optimized for DR (SELENA+, EyRIS Pte Ltd, Singapore) performed independent validation of readable color fundus images (17 eyes). Results : 5.07% of images were deemed unreadable by graders due to poor quality. Intergrader agreement for subject referral was κ = 0.710 (95% CI 0.545-0.875, p<.0005), with the clinical ophthalmologist generating more referrals than the telemedicine reader. Readers had 96.97% sensitivity (95% CI 91.12-1.028) and 72.22% specificity (95% CI 57.59- 86.85) in detecting referable disease. Positive predictive value was 76.19% (CI 63.31%- 89.07%) and negative predictive value was 96.30% (CI 89.17%- 1.034%). Of the 10 false positives, 6 were referred for rule out of glaucoma. Four had early stage cataracts that were deemed nonurgent. SELENA+ referred 100% of the known 9 DR patients. Conclusions : Tele-ophthalmology deployment in the ED helps limit patient and staff exposure to SARS-CoV-2 without sacrificing evaluation for VTDs. Tele-ophthalmology readers err on the side of caution to avoid missing VTD in a given patient. Use of AI can help keep strict adherence to referral guidelines.

T1DM during COVID-19: A retrospective analysis on access to ophthalmology care and health habits

Purpose : Coronavirus-19 (COVID-19) has had immense effects on access to medical care. Loss of medical care is alarming for individuals with pre-existing conditions like Type 1 Diabetes Mellitus (T1DM) which require uninterrupted care for best outcomes. Consistent care and medication use can reduce risk of developing diabetic retinopathy (DR) by 76% or progression by 54%. Healthy habits have also been linked to reduced risk of DR. The purpose of this study is to assess the effect of COVID-19 on care access and health habits in individuals with T1DM Methods : Surveys were administered from July-November of 2020 to multinational groups including the Children with Diabetes Conference (USA) and online groups, the American Diabetes Association and Connected in Motion Canadian Conference for T1DM. Data was collected from 125 patients from the USA, UK, Canada, and Bolivia. Age range was 5-81, and average years with T1DM was 17.9. The survey was online so responder rate is unclear, though response rates from previous surveys with similar groups averaged less than 10%. Results : While 73.6% of respondents saw an ophthalmologist within 1 year and 98.4% had medication without rationing, 40% postponed medical visits. Reasons for postponement included lack of appointments or transportation, financial issues and safety concerns. The majority (86.4%) were from the US where private insurance is prevalent, 12% were from Europe and Canada, where socialized medicine is common. Of respondents, 90.4% are willing to use telemedicine as an alternative. For most, diet remained the same (48.8%);25.6% stated their diet was healthier and 20% stated their diet was less healthy. 16.8% had problems accessing their usual foods due to the pandemic. A majority (55.2%) reported decreased exercise with 18.4% reporting more exercise. These overall trends were consistent across countries, and gender trends remained the same as pre-COVID, with women having better lifestyle and medical care adherence. Conclusions : Though patients delayed appointments, most were able to see an ophthalmologist and access medication. Physical activity levels decreased, though diets were mostly unchanged. In individuals with T1DM, disruptions in medical care and health habits can have negative long-term outcomes on overall and eye health. Telemedicine offers a promising solution for mitigating this risk.