Research on the Relative Position Detection Method between Orchard Robots and Fruit Tree Rows (preprint)

The relative position of the orchard robot to the rows of fruit trees is an important parameter for achieving autonomous navigations. The current methods for estimating the position parameters between rows of orchard robots obtain low parameter accuracy, and to address this problem, this paper proposes a machine vision-based method for detecting the relative position of orchard robots and fruit tree rows. Firstly, the fruit tree trunk is identified based on the improved YOLOv4 model; secondly, the camera coordinates of the tree trunk are calculated from the principle of binocular camera triangulation, and the ground projection coordinates of the tree trunk are obtained through coordinate conversion; finally, the midpoints of the projection coordinates of different sides are combined and the navigation path is obtained by linear fitting with the least squares method, and the position parameters of the orchard robot are obtained through calculation. The experimental results show that the average accuracy and average recall of the improved YOLOv4 model for fruit tree trunk detection are 97.05% and 95.42%, respectively, which are 5.92 and 7.91 percentage points higher than those of the original YOLOv4 model. The average errors of heading angle and lateral deviation estimates obtained based on the method in this paper are 0.57° and 0.02 m. The method can accurately calculate heading angle and lateral deviation values at different positions between rows, and can provide a reference for autonomous visual navigation of orchard robots.

Experiences of Women with Disabilities in Accessing Maternal Healthcare Services: A South African Case Study (preprint)

Access to maternal healthcare services is a challenge in most low and middle-income countries. South Africa is one of the countries striving to improve the accessibility of maternal healthcare services. Although South Africa has put some interventions to improve the accessibility of maternal healthcare services, vulnerable women including women with disabilities are still facing numerous challenges when trying to access maternal healthcare services. The aim of the study was to explore the experiences of women with disabilities in the province of KwaZulu-Natal in South Africa in accessing public maternal healthcare services. Twelve women with disabilities (four with physical impairments, four with hearing impairments and four with visual impairments) were interviewed for this study. Data were transcribed verbatim and analysed utilising the Framework of Assessing Access to Maternal Healthcare Services by Peters et al. 2008. The study found that narrow passages and information in inaccessible formats were a challenge for women with visual impairments. The women with hearing impairments had challenges in communication as most facilities did not have sign language interpreters, negative attitudes of health care workers and being ignored when they asked for help. The women with physical impairments encountered inaccessible buildings, narrow passages, small consultation rooms and equipment which is not adjustable such as beds and scales.

MLPs Are All You Need for Human Activity Recognition (preprint)

Convolution, recurrent and attention-based deep learning techniques have produced the most recent state-of-the-art results in multiple sensor-based human activity recognition (HAR) datasets. However, these techniques have high computing costs, restricting their use in low-powered devices. Different methods have been employed to increase the efficiency of these techniques; however, this often results in worse performance. Recently, pure MLP architectures have demonstrated competitive performance in vision-based tasks with lower computation costs than other deep-learning techniques. The MLP-Mixer is a pioneering pure MLP architecture that produces competitive results with state-of-the-art models in computer vision tasks. This paper shows the viability of the MLP-Mixer in sensor-based HAR. Furthermore, experiments are performed to gain insight into the Mixer modules essential for HAR, and a visual analysis of the Mixer’s weights is provided, validating the Mixer’s learning capabilities. As a result, the Mixer achieves an F1 score of 97%, 84.2%, 91.2% and 90% on the PAMAP2, Daphnet Gait, Opportunity Gestures and Opportunity Locomotion datasets, respectively, outperforming state-of-the-art models in all datasets except Opportunity Gestures.

User Perceptions of Avatar-Based Patient Monitoring for Intensive Care Units: An International Exploratory Sequential Mixed-Methods Study (preprint)

Visual Patient Avatar ICU is an innovative approach to patient monitoring enhancing the user's situation awareness in intensive care settings. It dynamically displays the patient's current vital signs through changes in color, shape and animation. The technology can also indicate patient-inserted devices, such as arterial lines, central lines and urinary catheters, along with their insertion locations. We conducted an international, multi-center study using a sequential qualitative-quantitative design to evaluate users' perception of Visual Patient Avatar ICU among physicians and nurses. Twenty-five nurses and twenty-five physicians from the ICU participated in the structured interviews. Forty of them completed the online survey. Overall, ICU professionals expressed a positive outlook on Visual Patient Avatar ICU. They described Visual Patient Avatar ICU as a simple and intuitive tool that improved information retention and facilitated problem identification. However, a subset of participants expressed concerns about potential information overload and a sense of incompleteness due to missing exact numerical values. These findings provide valuable insights into user perceptions of Visual Patient Avatar ICU and encourage further technology development before clinical implementation.

Target Localization and Grasping of Parallel Robots with Multi-Vision Based on Improved RANSAC Algorithm (preprint)

Some traditional robots are based on offline programming reciprocal motion, and with the continuous upgrading of vision technology, more and more tasks are replaced by machine vision. For the current problem of insufficient accuracy of robot target localization based on binocular vision, and an improved random sampling consistency algorithm is proposed to complete parallel robot target localization and grasping under the guidance For the current problem of insufficient accuracy of robot target localization based on binocular vision, an improved random sampling consistency algorithm is proposed to complete parallel robot target localization and grasping under the guidance of multi Firstly, the RANSAC algorithm is improved based on the SURF algorithm; then the parallax gradient method is applied to iterate the matched point pairs several times to further optimize the data; then the 3D reconstruction is completed by the program technique; finally the obtained data is finally the obtained data is input into the robot arm and the camera internal and external parameters are obtained by the calibration method so that the robot can accurately locate and The experiments show that the improved algorithm has advantages in recognition accuracy and grasping success rate under multi- The experiments show that the improved algorithm has advantages in recognition accuracy and grasping success rate under multi-vision system.

Role of Glucocorticoids and Glucocorticoid Receptors in Glaucoma Pathogenesis (preprint)

Abstract: The glucocorticoid receptor (GR), including both alternative spliced isoforms (GRa and GRb), has been implicated in the development of primary open-angle glaucoma (POAG) and iatrogenic glucocorticoid-induced glaucoma (GIG). POAG is the most common form of glaucoma, which is the leading cause of irreversible vision loss and blindness in the world. Glucocorticoids (GCs) are commonly used therapeutically for ocular and numerous other diseases/conditions. One serious side effect of prolonged GC therapy is the development of iatrogenic secondary ocular hypertension (OHT) and OAG (i.e. GC-induced glaucoma (GIG)) that clinically and pathologically mimics POAG. GC-induced OHT is caused by pathogenic damage to the trabecular meshwork (TM), a tissue involved in regulating aqueous humor outflow and intraocular pressure. TM cells derived from POAG eyes (GTM cells) have lower expression of GRb, a dominant negative regulator of GC activity, compared to TM cells from age-matched control eyes. Therefore, GTM cells have a greater pathogenic response to GCs. Almost all POAG patients develop GC-OHT when treated with GCs, in contrast to a GC responder rate of 40% in the normal population. Increased expression of GRb can block GC-induced pathogenic changes in TM cells and reverse GC-OHT in mice. Endogenous expression of GRb in the TM may relate to differences in the development of GC-OHT among the normal population. A number of studies have suggested increased levels of endogenous cortisol in POAG patients as well as differences in cortisol metabolism, suggesting that GCs may be involved in the development of POAG. Additional studies are warranted to better understand the molecular mechanisms involved in POAG and GIG in order to develop new disease modifying therapies to better treat these two sight threatening forms of glaucoma.

Unveiling Neuroprotection and Regeneration Mechanisms in Optic Nerve Injury: Insight from Neural Progenitor Cell Therapy with Focus on Vps35 and Syntaxin12 (preprint)

Axonal degeneration resulting from optic nerve damage can lead to the progressive death of retinal ganglion cells (RGCs), culminating in irreversible vision loss. We contrasted two methods for inducing optic nerve damage: optic nerve compression (ONCo) and optic nerve crush (ONCr). These were assessed for their respective merits in simulating traumatic optic neuropathies and neurodegeneration. We also administered neural progenitor cells (NPCs) into the subtenon space to validate their potential in mitigating optic nerve damage. Our findings indicate that both ONCo and ONCr successfully induced optic nerve damage, as shown by increased ischemia and expression of genes linked to neuronal regeneration. Post NPCs injection, recovery in the expression of neuronal regeneration-related genes was more pronounced in the ONCo model than in the ONCr model, while inflammation-related gene expression saw a better recovery in ONCr. In addition, proteomic analysis of R28 cells in hypoxic conditions identified Vps35 and Syntaxin12 genes. Vps35 preserved mitochondrial function in ONCo, while Syntaxin12 appeared to restrain inflammation via the Wnt/β-catenin signaling pathway in ONCr. NPCs managed to restore damaged RGCs by elevating neuroprotection factors and controlling inflammation through mitochondrial homeostasis and Wnt/β-catenin signaling in hypoxia-injured R28 cells and in both animal models. Our results suggest that ischemic injury and crush injury cause optic nerve damage via different mechanisms, which can be effectively simulated using ONCo and ONCr, respectively. Moreover, cell-based therapies such as NPCs may offer promising avenues for treating various optic neuropathies, including ischemic and crush injuries.

Rehabilitation with Kinematic Biofeedback Improves Shoulder Function in Patients Surgically Treated for Rotator Cuff Tear: Indications from a Randomized Controlled Trial (preprint)

A randomized control trial (clinicaltrial.gov identification NCT04521504) was conducted to test if the combination of a rehabilitative protocol with a kinematic visual biofeedback tool could improve the functional level of patients arthroscopically treated for rotator cuff tear, both in the short- and medium-term assessments. Forty patients (aged between 35 and 65 y.o., employed at the time of the enrollment) were randomly assigned to two groups: Control group (C, n°21 patients) and Biofeedback group (B, n°19 patients). The primary outcome used for the assessment of shoulder functional performances was the Scapula-Weighted Constant-Murley Score. Patients were assessed longitudinally: before surgery, 45 days after surgery, at time of return-to-work, and at a final follow-up between 6 and 12 months. Results showed no biases for the two groups before the administration of the experimental protocol; significantly higher scores for B compared to C were found only at time of return-to-work. Based on results, we could conclude that the biofeedback training allowed patients to return to work in a better functional condition. This trial was funded by the National Institute for Insurance against Accidents at Work (INAIL).

Dynamic Emotion Recognition and Social Inference Ability in Traumatic Brain Injury: An Eye-Tracking Comparison Study (preprint)

Emotion recognition and social inference impairments are well-documented post-traumatic brain injury (TBI) yet the mechanisms underpinning these are not fully understood. We examined dynamic emotion recognition, social inference abilities, and eye fixation patterns between adults with and without TBI. Eighteen individuals with TBI and 18 matched non-TBI participants were recruited and underwent all three components of The Assessment of Social Inference Test (TASIT). The TBI group were less accurate in identifying emotions compared to the non-TBI group. Individuals with TBI also scored lower when distinguishing sincere and sarcastic conversations but scored similarly to those without TBI during lie vignettes. Finally, those with TBI also had difficulty understanding the actor’s intentions, feelings, and beliefs compared to participants without TBI. No group differences were found for eye fixation patterns and there were no associations between fixations and behavioural accuracy scores. This conflicts with previous studies and might be related to an important distinction between static and dynamic stimuli. Visual strategies appeared goal- and stimulus-driven, with attention being distributed to the most diagnostic area of the face for each emotion. These findings suggest that low-level visual deficits may not be modulating emotion recognition and social inference disturbances post-TBI.

COVID-19 Testing and Vaccination among US Older Adults with Vision Impairment: The National Health and Aging Trends Study 2021 (preprint)

PurposeTo examine the associations between vision impairment (VI) and COVID-19 testing and vaccination services in older US adults. MethodsThis cross-sectional study assessed data from adults [≥]65 years who participated in the National Health and Aging Trends Study (year 2021), a nationally representative sample of Medicare beneficiaries. Exposure: Distance VI (<20/40), near VI (<20/40), contrast sensitivity impairment (CSI) (<1.55 logCS), and any VI (distance, near, or CSI). Outcomes: Self-reported COVID-19 testing and vaccination. ResultsOf 2,822 older adults, the majority were female (weighted; 55%) and White (82%), and 32% had any VI. In fully-adjusted regression analyses, older adults with any VI had similar COVID-19 vaccination rates to adults without any VI (OR:0.77, 95% CI:0.54-1.09), but had lower odds of COVID-19 testing (OR:0.82, 95% CI:0.68-0.97). Older adults with distance (OR:0.47, 95% CI:0.22-0.99) and near (OR:0.68, 95% CI:0.47-0.99) VI were less likely to be vaccinated for COVID-19, while those with CSI were less likely to test for COVID-19 (OR:0.76, 95% CI:0.61- 0.95), as compared to peers without respective impairments. The remaining associations were not significant (p>.05). Conclusions and RelevanceThese findings highlight inequities in the COVID-19 pandemic response for people with vision disability and emphasize the need for equitable prioritization of accessibility of healthcare services for all Americans.

Wet Age-Related Macular Degeneration (wAMD) Risks and Benefits of Cataract Surgery (preprint)

Background: Cataract and Age-related Macular Degeneration are two characteristic diseases of the so-called elderly age (75-90 years and older). Both determine an important visual impairment, so it is often difficult to understand how much of the visual loss is given by the cataract opacities and how much by the degeneration of the macula and this assumes a relevant medico-legal query in clinical practice. Methods: From that pool we randomized in group 735 eyes with wAMD (males 328, females 407) Average age: 76.23±13.87 years, and in Group 819 eyes without clear signs of wAMD (males 361, females 451) Average age: was 75.88±18.21 years to randomize them we used the online randomization program (http://www.graphpad.com/quickcalcs/index.cfm) selecting random numbers and then randomly assign subjects to groups to undergo our observational study. All patients were examined with full ophtalmological visit including Best Corrected Visual Acuity (with Bailey-Lawson Chart), Anterior Segment examination, Fundus Examination, in all cases with wAMD was also performed OCT. ANOVA multifactorial statistical analysis was drawn. Results: number of patients with unsatisfactory surgery is significantly higher in the group of AMD patients, and this is easily understandable from what has been said above, but I would like to underline that in most patients there are very positive results, therefore cataract surgery is also indicated in AMD patients. Conclusions: Cataract surgery has a positive impact on the patient's life in most cases, you shouldn't be afraid to operate. However, it is necessary to find surgical measures capable of minimizing the consequences of the intervention on the retina.

Diagnostic Imaging in Infectious Keratitis: A Review (preprint)

Infectious keratitis (IK) is among the top 5 leading causes of blindness globally. Early diagnosis is key to guide an appropriate therapy to avoid complications such as vision impairment and blindness. Culture of corneal scrapes is the initial diagnostic test to grow and identify the causal organism. Alternative diagnostic tools include imaging such as with optical coherence tomography (OCT) and in vivo confocal microscopy (IVCM). OCT’s advantage is its ability to accurately determine the depth and extent of the corneal ulceration, infiltrates and haze; therefore, characterizing the severity and progression of the infection. However, it is not a preferred choice in the diagnostic tool package for infectious keratitis. IVCM is a great aid in the diagnosis of fungal and Acanthamoeba keratitis with overall sensitivities of 66-74% and 80-100%, and specificity of 78-100% and 84-100%, respectively. Recently the use of deep learning (DL) models in IK has been shown to aid diagnosis via image recognition. Most of the studies that have developed DL models to diagnose the different types of IK have utilised photographs from digital camaras, slit-lamp images, or IVCM images. Some studies have used extremely efficient single DL algorithms to train their models and others used ensemble approaches. This technology is likely to assist in the diagnosis of IK in some years. Further work is needed to examine and validate the clinical performance of the DL models in the real-world setting and to evaluate whether this technology improves patient clinical outcomes. The scope of this review was to provide a recent update on the diagnostic imaging tools in IK

Invariant Scattering Transform for Medical Imaging (preprint)

Invariant scattering transform introduces new area of research that merges the signal processing with deep learning for computer vision. Nowadays, Deep Learning algorithms are able to solve a variety of problems in medical sector. Medical images are used to detect diseases brain cancer or tumor, Alzheimer's disease, breast cancer, Parkinson's disease and many others. During pandemic back in 2020, machine learning and deep learning has played a critical role to detect COVID-19 which included mutation analysis, prediction, diagnosis and decision making. Medical images like X-ray, MRI known as magnetic resonance imaging, CT scans are used for detecting diseases. There is another method in deep learning for medical imaging which is scattering transform. It builds useful signal representation for image classification. It is a wavelet technique; which is impactful for medical image classification problems. This research article discusses scattering transform as the efficient system for medical image analysis where it's figured by scattering the signal information implemented in a deep convolutional network. A step by step case study is manifested at this research work.

An unpremeditated complication of COVID-19 and mucormycosis: a case report, brief review, and warning for tunnel vision (preprint)

Over the course of the Coronavirus disease 2019 (COVID-19) pandemic, numerous complications have been documented. In this report, we have detailed an unexpected complication of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that occurred in a 73-year-old female patient who was simultaneously afflicted with mucormycosis and another unanticipated problem. Due to the lack of recovery of the patient after receiving mucormycosis treatment and continued fever, cough and hemoptysis, bronchoscopy was performed for her. During bronchoscopy, we encountered a foreign body that was the cause of the patient's fever, cough, and hemoptysis. Rigid bronchoscopy was performed and a foreign body (2.7 x 1.2 cm) was removed from the left main bronchus. Although research has showed fewer cases of pediatric Foreign Body Aspiration (FBA) during lockdown periods, there is not enough evidence about FBA risk in elderly patients with comorbidities. Finally, in the treatment of cases of COVID-19 infections co-infected with opportunistic fungal and maybe even bacterial infections, we should not look at the patient through a tunnel vision and consider all possible scenarios for the patient.

SARS-CoV-2 Impairs Vision.

OBJECTIVES: Affection of the central nervous system and the eyes is increasingly recognized as manifestations of a SARS-CoV-2 infection (COVID-19). This review aims at summarizing and discussing recent advances concerning causes and locations of impaired vision because of an infection with SARS-CoV-2. METHODS: On a literature search through PubMed and ScholarOne, all available publications about COVID-19 patients with impaired vision were retrieved. RESULTS: Visual impairment in SARS-CoV-2-infected patients may be due to infection of lacrimal glands (dacryoadenitis), conjunctivitis, tonic pupils, vitritis, central retinal artery/venous occlusion, retinitis, retinal bleeding, panuveitis, anterior ischemic optic neuropathy, optic nerve stroke, optic neuritis, optic perineuritis, or occipital ischemic stroke. Visual impairment may be the initial manifestation of SARS-CoV-2. CONCLUSIONS: This mini review shows that impaired vision may be the initial manifestation of COVID-19, that all sections of the visual tract may be affected and causative for visual impairment in COVID-19 patients, and that SARS-CoV-2 manifests along the visual tract with ischemia, focal infection, and immunological reactions.

Neuro-Ophthalmic Visual Impairment in the Setting of COVID-19.

We set out to describe in detail the afferent neuro-ophthalmological complications that have been reported in association with coronavirus disease 2019 (COVID-19) infection. We describe and elaborate on mechanisms of disease, including para-infectious inflammation, hypercoagulability, endothelial damage, and direct neurotropic viral invasion. Despite global vaccination programs, new variants of COVID-19 continue to pose an international threat, and patients with rare neuro-ophthalmic complications are likely to continue to present for care.Afferent complications from COVID-19 include homonymous visual field loss, with or without higher cortical visual syndromes, resulting from stroke, intracerebral hemorrhage, or posterior reversible leukoencephalopathy. Optic neuritis has frequently been reported, sometimes along with acute disseminated encephalomyelopathy, often in association with either myelin oligodendrocyte glycoprotein antibodies (MOG-IgG) or less commonly aquaporin-4 seropositivity or in newly diagnosed multiple sclerosis. Ischemic optic neuropathy has rarely been reported. Papilledema, resulting either from venous sinus thrombosis or idiopathic intracranial hypertension in the setting of COVID-19, has also been described.Observed afferent neuro-ophthalmic associations need to be confirmed though larger comparative studies. Meanwhile, the range of possible complications should be recognized by neurologists and ophthalmologists alike, to facilitate faster diagnosis and treatment of both COVID-19 and its neuro-ophthalmic manifestations.

Multiscale aware classification of COVID-19 from Chest X-Ray using a spatially weighted atrous spatial pyramid pooling CNN (preprint)

COVID-19 is a severe respiratory tract infections which can range from mild to lethal. COVID-19 caused by SARS-CoV-2 can readily spread through direct or indirect contact with an infected person. This high spread rate pressure on the health care systems and requires non time-consuming methods for diagnosing. Convolutional Neural Networks (CNN) show a great success for various computer vision tasks. However, CNN like many computer vision models is a scale-variant model and requires expensive computation. In this paper, a novel micro architecture is proposed for multiscale feature extraction and classification. Proposed CNN learns multiscale features using a pyramid of shared convolution kernels with different dilation, atrous, rates. Proposed CNN is an attention based mechanism that is used to guide and select correct scale for each input. Proposed CNN is an end-to-end trainable Network. It achieved a 0.9929 for F1-score tested on QaTa-Cov19 benchmark dataset with a total of 5,040,571 trainable parameters.

Epidemiologic Investigation of Eye Symptoms Related to COVID-19 among Outpatient Population (preprint)

Since 2019, with the spread of the coronavirus and the emergence of new strains around the world, the effects of this virus on various organs of the body have been identified through various studies. According to these studies, the coronavirus has the ability to be transmitted through mucosal membranes, including respiratory membranes such as the nasal and conjunctival membranes. As the eyes are connected to the nasal duct through the inferior meatus, it is possible for the virus to be transmitted through this route. Wearing a mask can reduce the chance of transmission, but it can also lead to eye symptoms such as dryness. Additionally, individuals with COVID-19 experience various symptoms in their body systems. Some of these symptoms can affect the visual system and lead to blurry vision, dry eyes, foreign body sensation, tearing, and more. These symptoms can cause early eye fatigue and reduce the quality of academic and occupational performance. Since there is limited research in this area and considering the importance of this disease and its consequences, we decided to conduct an observational study on a number of COVID-19 patients referred to the clinic.

Prevalence of Computer Vision Syndrome During the COVID-19 Pandemic: Systematic Review and Meta-Analysis (preprint)

Background Computer vision syndrome (CVS) has become a significant public health problem, especially in developing countries. Therefore, this study aims to identify the prevalence of CVS during the COVID-19 pandemic. Methods A systematic review and meta-analysis of the literature was conducted using the databases PubMed, Scopus, Web of Science, and Embase up to February 22, 2023, using the search terms "Computer Vision Syndrome" and "COVID-19". Three authors independently performed study selection, quality assessment, and data extraction, and the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument was used to evaluate study quality. Heterogeneity was assessed using the statistical test I2, and the R version 4.2.3 program was used for statistical analysis. Results A total of 192 studies were retrieved, of which 18 were included in the final meta-analysis. The total sample included 10337 participants from 12 countries. The combined prevalence of CVS was 74% (95% CI: 66, 81). Subgroup analysis based on country revealed a higher prevalence of CVS in Pakistan (99%, 95% CI: 97, 100) and a lower prevalence in Turkey (48%, 95% CI: 44, 52). In addition, subgroup analysis based on study subjects showed a prevalence of 82% (95% CI: 74, 89) for CVS in non-students and 70% (95% CI: 60, 80) among students. Conclusion According to the study, 74% of the participants experienced CVS during the COVID-19 pandemic. Given this finding, it is essential to implement preventive and therapeutic measures to reduce the risk of developing CVS and improve the quality of life of those affected. Trial registration The protocol for this systematic review and meta-analysis was registered in the international registry of systematic reviews, PROSPERO, with registration number CRD42022345965.

Development of an integrated telerehabilitation model in children with cerebral visual impairment in South India during the COVID-19 pandemic - A pilot study.

Purpose: Coronavirus disease 2019 (COVID-19) pandemic affected the in-person rehabilitation/habilitation services in families with children with cerebral visual impairment (CVI) in India. This study aimed to develop a structured and family-centered telerehabilitation model alongside conventional in-person intervention in children with CVI to observe its feasibility in the Indian population. Methods: This pilot study included 22 participants with a median age of 2.5 years (range: 1-6) who underwent a detailed comprehensive eye examination followed by functional vision assessment. The visual function classification system (VFCS) was administered to the children and the structured clinical question inventory (SCQI) to the parents. Every participant underwent 3 months of telerehabilitation including planning, training, and monitoring by experts. At 1 month, the parental care and ability (PCA) rubric was administered to the parents. After 3 months, in an in-person follow-up, all the measures were reassessed for 15 children. Results: After 3 months of Tele-rehabilitation there were significant improvements noted in PCA rubric scores (P<0.05). Also, statistically significant improvements were noted in functional vision measured using SCQI and VFCS scores (P<0.05) compared to baseline. Conclusion: The outcomes of the study provide the first steps towards understanding the use of a novel tele-rehabilitation model in childhood CVI along-side conventional face-to-face intervention. The added role of parental involvement in such a model is highly essential.