Sensory Fusion Research Articles

Botulinum toxin-A in acute acquired comitant esotropia during COVID pandemic in children and young adolescents

Abstract Purpose: To study the effectiveness of botulinum toxin A (BTX-A) in the treatment of patients with acute acquired comitant esotropia (AACE) due to excessive use of mobile and laptops in the COVID era in the pediatric population and adolescents. Methods: This was a retrospective, interventional study of pediatric patients and young adults who presented with AACE and received unilateral or bilateral BTX-A. All the patients complained of binocular diplopia and sudden onset of esotropia with a history of mobile or laptop usage during the COVID era (2020–2023). Twenty-seven patients with acute-onset esotropia in 3 years (2020–2023) were included. All patients were administered 2.5–7.5 units of BTX-A (Botox, Allergan, India) into the unilateral or bilateral medial rectus muscle of the deviating eye under short general anesthesia or local anesthesia. The main outcome measures were pre- and post-injection angle of deviation, pre- and post-injection stereopsis, final level of stereopsis achieved, recurrence, and whether strabismus surgery was later required. Results: The mean age of patients was 12.85 ± 7.15 years (range: 4–25 years). The mean dosage of Botox was 6 U (2.5–7.5 U). The mean follow-up was 6 months (6 months–2 years). The mean preoperative angle of deviation (AOD) was 41.11 ± 10.9 prism diopters (PD) for distance and 41.67 ± 10.9 PD for near. The maximum effect of BTX-A was seen at 1 month; post-injection AOD was 13.65 ± 14.7 PD for distance and 14.87 ± 15.8 PD for near (P < 0.001). Over half of the patients achieved optimal outcomes, with improvements in stereopsis and sensory fusion. Early intervention (within 3 months of symptom onset) significantly correlated with treatment success. Conclusion: While BTX-A therapy for acute-onset esotropia demonstrates efficacy, patient-specific considerations are essential. This study highlights the evolving nature in the digital age and early administration of BTX-A along with close follow-up to monitor residual and recurrence of esotropia. The surgical intervention can increase the final success rate.

Pencil push-up training compared with binocular vision training in the management of slight post-operative under-correction of intermittent exotropia: A prospective study.

This study aims to compare the effectiveness of pencil push-up training and binocular vision training in treating post-operative mild under-correction in patients with intermittent exotropia. A prospective cohort study was conducted, including patients who underwent surgery for intermittent exotropia at Children's Hospital of Nanjing Medical University between June 2022 and January 2023 and experienced post-operative mild under-correction (-8∆ to -15∆). Patients were divided into two groups: pencil push-up training group and binocular vision training group. All patients underwent measurements of exodeviation and stereoacuity at distance and near, sensory fusion, and fusion convergence amplitude. The data were analyzed using independent sample t-tests, repeated measures analysis of variance, and Chi-square tests. There were no statistically significant differences in exodeviation at distance and near between the two training groups before the training. After 6 months of training, the exodeviation at distance and near achieved a significant decrease in both groups (P < 0.05), and the pencil push-up training group showed a similar distance and near exodeviation compared to the binocular vision training group (t = 1.58, P ＞ 0.05; t = 0.43, P ＞ 0.05). After 6 months of training, the binocular vision training group exhibited significantly superior stereoacuity and fusion convergence amplitude compared to the pencil push-up training group (P < 0.001). Both pencil push-up training and binocular vision training are effective in reducing exodeviation in patients with post-operative mild under-correction of intermittent exotropia. However, binocular vision training demonstrates superior efficacy in restoring stereopsis and fusion convergence amplitude compared to pencil push-up training.

A Novel Multi-camera Fusion Approach at Plant Scale: From 2D to 3D

Non-invasive crop phenotyping is essential for crop modeling, which relies on image processing techniques. This research presents a plant-scale vision system that can acquire multispectral plant data in agricultural fields. This paper proposes a sensory fusion method that uses three cameras, Two multispectral and a RGB depth camera. The sensory fusion method applies pattern recognition and statistical optimization to produce a single multispectral 3D image that combines thermal and near-infrared (NIR) images from crops. A multi-camera sensory fusion method incorporates five multispectral bands: three from the visible range and two from the non-visible range, namely NIR and mid-infrared. The object recognition method examines about 7000 features in each image and runs only once during calibration. The outcome of the sensory fusion process is a homographic transformation model that integrates multispectral and RGB data into a coherent 3D representation. This approach can handle occlusions, allowing an accurate extraction of crop features. The result is a 3D point cloud that contains thermal and NIR multispectral data that were initially obtained separately in 2D.

Hypersonic inlet flow field reconstruction dominated by shock wave and boundary layer based on small sample physics-informed neural networks

High Mach number inlets face complex challenges such as shock wave/boundary layer interference, adversely impacting the aerodynamic characteristics and stable operating boundaries. Traditional computational fluid dynamics (CFD) simulations for performance and flow field analysis are slow, and data-driven deep learning technologies struggle with predicting flow fields in complex aerodynamic phenomena like shock wave/boundary layer interactions, boundary layer separation, and Mach disks. This study introduces a rapid, robust method for reconstructing hypersonic viscous inlet flow fields using inlet geometry design parameters. This method is called shock wave and boundary layer dominated two-dimensional multiphysical field reconstruction model based on multi-scale sensory field fusion residual physical information neural network (PIMSRF_ResNet), ensuring high-precision training data. Using the optimal Pareto solution set from multi-objective optimization with a small sample intelligence method, 150 sets of multi-physics fields under Ma10 conditions with varying geometric design parameters are calculated. Compared to traditional pure data-driven models, PIMSRF_ResNet's structural similarity in the test set reaches 0.9773, with a peak signal-to-noise ratio close to 30 dB and a correlation coefficient exceeding 98%. These experimental results demonstrated that the proposed method is a promising tool for real-time prediction of complex internal flow fields dominated by high Mach number shock waves and boundary layers.

Fine visuomotor skills in amblyopia: a systematic review and meta-analysis

BackgroundAmblyopia is characterised by reduced visual acuity, poor binocular sensory fusion, and impaired or absent stereoacuity. Understanding the extent to which amblyopia affects everyday task performance is important to quantifying...

Sensory Function of Children With Strabismus After Epiblepharon Surgery.

To investigate the effect of epiblepharon surgery on motor and sensory function in children with epiblepharon and concomitant strabismus. Among 564 patients who underwent epiblepharon correction surgery from May 2016 to April 2023, 45 children who were examined for strabismus were included in the study. Preoperative and postoperative visual acuity, refraction, and angle of deviation were analyzed. For those with significant angle of deviation, additional stereopsis, sensory fusion, and returning time were retrospectively investigated. The angle of deviation was examined by one examiner at distance and near. The mean age of 45 children (18 boys and 27 girls) was 6.8 ± 2.9 years. Fifteen had significant strabismus at the time of epiblepharon surgery. Visual acuity improved in both the total and strabismus groups. Improvement in stereopsis and fusion was also observed in the strabismus group. The angle of deviation showed no difference in both groups. Epiblepharon could affect ocular manifestations of strabismus as shown in this study. The authors suggest strabismus treatment be continued after epiblepharon surgery, with improved sensory function. Further evaluation with larger groups is needed in the future. [J Pediatr Ophthalmol Strabismus. 2024;61(4):257-261.].

Real needle for minimal invasive procedures training using motion sensors and optical flow

Minimally invasive percutaneous insertion procedures are widely used techniques in medicine. Their success is highly dependent on the skills of the practitioner. This paper presents a haptic simulator for training in these procedures, whose key component is a real percutaneous insertion needle with a sensory system incorporated to track its 3D location at every instant.By means of the proposed embedded vision system, the attitude (spatial orientation) and depth of insertion of a real needle are estimated. The proposal is founded on a novel depth estimation procedure based on optical flow techniques, complemented by sensory fusion techniques with the attitude calculated with data from an Inertial Measurement Unit (IMU) sensor. This procedure allows estimating the needle attitude with an accuracy of tenths of a degree and the displacement with an accuracy of millimeters. The computational algorithm runs on an embedded computer with real-time constraints for tracking the movement of a real needle. This haptic needle location data is used to reproduce the movement of a virtual needle within a simulation app.As a fundamental result, an ergonomic and realistic training simulator has been successfully constructed for healthcare professionals to acquire the mental model and motor skills necessary to practice percutaneous procedures successfully.

Research on rapid quality identification method of Panax notoginseng powder based on artificial intelligence sensory technology and multi-source information fusion technology

Panax notoginseng powder (PNP) has high medicinal value and is widely used in the medical and health food industries. However, the adulteration of PNP in the market has dramatically reduced its efficacy. Therefore, this study intends to use artificial intelligence sensory (AIS) and multi-source information fusion (MIF) technology to try to establish a quality evaluation system for different grades of PNP and adulterated Panax notoginseng powder (AD-PNP). The highest accuracy rate reached 100% in identifying PNP grade and adulteration. In the prediction of adulteration ratio and total saponin content, the optimal determination coefficients of the test set were 0.9965 and 0.9948, respectively, and the root mean square errors were 0.0109 and 0.0123, respectively. Therefore, the grade identification method of PNP and the evaluation system of AD-PNP based on AIS and MIF technology can rapidly and accurately evaluate the quality of PNP.

Cognitive Robotics: Integrating Artificial Intelligence and Embodied Intelligence for Advanced Problem Solving

Artificial intelligence (AI) and embodied intelligence are combined in cognitive robotics, which marks a paradigm change in highly developed problem-solving skills. This study offers a comprehensive review of the theoretical underpinnings, practical difficulties, practical applications, and moral implications of cognitive robots. The study explores machine learning methods, natural language processing tools, and computer vision technologies after introducing the fundamental concepts. It clarifies embodied intelligence further by emphasizing the important roles that sensory data fusion, robotic actuation, and adaptive behaviours play in the cognitive capabilities of robots. The study then moves on to discuss cognitive robotics' integration difficulties, including issues in sensory data fusion, cognitive dissonance in AI-driven robotics, and human-robot interaction. Applications in autonomous cars, healthcare, manufacturing, and assistive technologies demonstrate how cognitive robotics is transforming many different industries. The ethical obligations involved in the creation and use of cognitive robotic systems are highlighted, along with ethical issues relating to employment, privacy, and ethical AI practises. In-depth analysis is done of the present and foreseeable difficulties in cognitive robotics. Along with cognitive difficulties like contextual comprehension and moral conundrums, technical obstacles linked to sensor limits and processing restrictions are also studied. The study highlights cutting-edge research projects and multidisciplinary partnerships that provide answers to these problems, paving the path for the development of cognitive robots in the future. The article envisions a future where cognitive robots would play a part in space exploration, disaster response, and personalised robotics. It also surveys integration possibilities with cutting-edge technologies like augmented reality and the Internet of Things. The study summarises the key findings and presents the implications for future research, and emphasises the important part cognitive robotics plays in resolving difficult issues. To ensure that cognitive robots continue to have an impact on a future that is smarter, more connected, and understanding, ethical issues, multidisciplinary collaboration, and responsible development practises are necessary.

Connecting with the world: poetic synaesthesia, sensory metaphors and empathy

Abstract Many poems rely on sensory lexis and metaphors, making them amenable to the readerly experience of sensory overlap or fusion that characterizes synaesthesia. Such sensory language can be considered a way to connect with our emotions and bodies, since our bodily experiences directly influence and control many of our other experiences. Synaesthetic metaphors can thus be related to empathy via embodiment, especially when empathy is understood as playing a part in the reader’s or the spectator’s sensory engagement with works of art. In this article, I explore how empathy can derive from our sensory experience of a few poems that may allow embodied reading experiences. Analyzing sensory language in poems by Dadaist Hugo Ball, Romantics John Keats and Wilfred Owen, and Modernist H.D., I contend that loading poetry with sensations could be construed as an attempt to bridge the gap(s) between the body and the mind by stimulating readers’ empathic response.

Clinical features and refractive profile of Brown syndrome

ABSTRACT Clinical Significance Understanding the refractive profile, amblyopia prevalence, binocular status, and head position in patients with Brown syndrome help clinicians become more familiar with this syndrome. Background Brown syndrome is identified as an active and passive restricted elevation of the eye in adduction. There is little information on clinical features, including refractive status, amblyopia, abnormal head posture (AHP), and types of deviation in these patients. Methods This study retrospectively evaluated records of 100 Brown syndrome patients from 2015 to 2022 at Farabi Eye Hospital, Iran. Results The mean age was 6.99 ± 6.33 years, including 48 (48%) males. A congenital source was found in 74 (74%) and 96 (96%) patients had unilateral involvement. The mean CDVA for the affected and non-affected eyes were 0.05 ± 0.11 and 0.03 ± 0.06 logMAR, respectively (P = 0.31). In unilateral cases, hyperopia, myopia, and emmetropia were observed in 55 (57.29%), 2 (2.08%), and 39 (40.63%) affected eyes, respectively. The most common type of deviation was pure hypotropia, which was found in 53 (53%) cases, followed by ‘combined exotropia and hypotropia’ observed in 26 (26%) patients. The mean angle of hypotropia and horizontal deviation in the primary position at distance was 12.10 ± 8.50 and 8 ± 13.20 prism dioptre, respectively. A V-pattern was found in 76 (76%) patients. Amblyopia was observed in 13 (21.67%) of 60 cooperative patients, and AHP was noticed in 66 (66%) patients, in which “combined chin up and contralateral face turn” was the most common type. Conclusion About 75% of cases were congenital, 50% had pure hypotropia, 75% showed V-pattern, 20% had amblyopia, and AHP was observed in 67% of patients. The remarkable prevalence of amblyopia alongside the high occurrence of AHP should alert clinicians to carefully assess patients with Brown syndrome for sensory fusion and amblyopia.

A physics-informed CNN-TSE hybrid network for micro-EDM process monitoring and control

Despite being a widespread non-conventional processing technique, electrical discharge machining (EDM) has been complicated due to its removal mechanisms and weak process stability for decades. Process monitoring is an enabling technology to offer an indirect insight into the discharge phenomena, understanding the probabilistic anomaly events such as arcs and short circuits. However, the transient high-frequency pulse train poses a great challenge for statistical monitoring and control. Traditional approaches are limited to single pulse analysis, which hinders a deep understanding of the process. To address the challenge, this paper proposes a novel physics-informed deep learning architecture for real-time micro-EDM process monitoring. To prepare condition labels, a series of signal-processing techniques including sensory fusion, pulse-shape filtering and pulse segmentation are employed, followed by observation diagrams on two critical indicators, i.e. discharge energy and discharge time interval. A decision logic that allows embedding of domain knowledge is formulated, yielding physics-informed labels on each pulse train. For online monitoring applications, a hybrid hierarchical structure that combines a 1D convolutional neural network (1D-CNN) and a Transformer encoder (TSE) is designed to simultaneously extract local pulse features and temporal dependencies between pulse sequences. This deep learning model achieves a classification accuracy of 96% on the validation dataset and reaches precision and recall scores of more than 92% on the test dataset with varying processing parameters. Two model interpretation approaches, i.e. gradient-weighted class activation mapping (Grad-CAM) and attention visualization, are adopted. Consequently, it is found that the CNN module assigns high feature importance to the breakdown and maintaining stages of one pulse and the TSE module improves the feature salience and reliance on the condition of distinct events. This monitoring network is further demonstrated on a control application for adaptive regulation of the micro-EDM drilling process. The results of deep-hole drilling suggest that the CNN-TSE model can highly improve the process stability and hence the machining quality.

Functional changes in fusional vergence-related brain areas and correlation with clinical features in intermittent exotropia using functional magnetic resonance imaging.

To explore the functional changes of the frontal eye field (FEF) and relevant brain regions and its role in the pathogenesis of intermittent exotropia (IXT) children via functional magnetic resonance imaging (fMRI). Twenty-four IXT children (mean age, 11.83 ± 1.93 years) and 28 normal control (NC) subjects (mean age, 11.11 ± 1.50 years) were recruited. During fMRI scans, the IXT children and NCs were provided with static visual stimuli (to evoke sensory fusion) and dynamic visual stimuli (to evoke motor fusion and vergence eye movements) with binocular disparity. Brain activation in the relevant brain regions and clinical characteristics were evaluated. Group differences of brain activation and brain-behavior correlations were investigated. For dynamic and static visual disparity relative to no visual disparity, reduced brain activation in the right FEF and right inferior occipital gyrus (IOG), and increased brain activation in the left middle temporal gyrus complex (MT+) were found in the IXT children compared with NCs. Significant positive correlations between the fusional vergence amplitude and the brain activation values were found in the right FEF, right IPL, and left cerebellum in the NC group. Positive correlations between brain activation values and Newcastle Control Scores (NCS) were found in the left MT+ in the IXT group. For dynamic visual disparity relative to static visual disparity, reduced brain activation in the right middle occipital gyrus, left cerebellum, and bilateral IPL was found in the IXT children compared with NCs. Significant positive correlations between brain activation values and the fusional vergence amplitude were found in the right FEF and right cerebellum in the NC group. Negative correlations between brain activation values and NCS were found in the right middle occipital gyrus, right cerebellum, left IPL, and right FEF in the IXT group. These results suggest that the reduced brain activation in the right FEF, left IPL, and cerebellum may play an important role in the pathogenesis of IXT by influencing fusional vergence function. While the increased brain activation in the left MT+ may compensate for this dysfunction in IXT children.

Adaptive Memory of a Neuromorphic Transistor with Multi-Sensory Signal Fusion.

One of the ultimate goals of artificial intelligence is to achieve the capability of memory evolution and adaptability to changing environments, which is termed adaptive memory. To realize adaptive memory in artificial neuromorphic devices, artificial synapses with multi-sensing capability are required to collect and analyze various sensory cues from the external changing environments. However, due to the lack of platforms for mediating multiple sensory signals, most artificial synapses have been mainly limited to unimodal or bimodal sensory devices. Herein, we present a multi-modal artificial sensory synapse (MASS) based on an organic synapse to realize sensory fusion and adaptive memory. The MASS receives optical, electrical, and pressure information and in turn generates typical synaptic behaviors, mimicking the multi-sensory neurons in the brain. Sophisticated synaptic behaviors, such as Pavlovian dogs, writing/erasing, signal accumulation, and offset, were emulated to demonstrate the joint efforts of bimodal sensory cues. Moreover, associative memory can be formed in the device and be subsequently reshaped by signals from a third perception, mimicking modification of the memory and cognition when encountering a new environment. Our MASS provides a step toward next-generation artificial neural networks with an adaptive memory capability.

Comparison of sensory fusion recovery in different types programming of liquid crystal glasses

Objective: to compare the effectiveness of new method of sensory fusion recovery in patients with personalized adjustment of the frequency of alternation of liquid crystal glasses (LCG) compared with the empirical selection of the frequency of alternation. Material and methods. The study included 39 patients with concomitant convergent strabismus with orthotropy and no sensory fusion after surgical treatment of strabismus, who were prescribed LCG. The glasses were programmed empirically at 2 Hz in 21 patients (empiric group), in 18 patients — using the developed formula for calculating the frequency of alternation of LCG (calculated group). The compared groups did not differ in gender, age, visual acuity, and other characteristics. Results. Recovery of sensory fusion occurred more often with LCG in calculated group (16 patients, 88.9%) than in empiric group (9 patients, 42.9%), the difference is highly reliable (p=0.001). Conclusions. Anew method for personalized selection of the frequency of alternating LCG using video oculography is more efficient than empirical programming for sensory fusion restoration in children after surgery for concomitant convergent strabismus.

Comparison of sensory fusion recovery in different types programming of liquid crystal glasses

Objective: to compare the effectiveness of new method of sensory fusion recovery in patients with personalized adjustment of the frequency of alternation of liquid crystal glasses (LCG) compared with the empirical selection of the frequency of alternation. Material and methods. The study included 39 patients with concomitant convergent strabismus with orthotropy and no sensory fusion after surgical treatment of strabismus, who were prescribed LCG. The glasses were programmed empirically at 2 Hz in 21 patients (empiric group), in 18 patients — using the developed formula for calculating the frequency of alternation of LCG (calculated group). The compared groups did not differ in gender, age, visual acuity, and other characteristics. Results. Recovery of sensory fusion occurred more often with LCG in calculated group (16 patients, 88.9%) than in empiric group (9 patients, 42.9%), the difference is highly reliable (p=0.001). Conclusions. Anew method for personalized selection of the frequency of alternating LCG using video oculography is more efficient than empirical programming for sensory fusion restoration in children after surgery for concomitant convergent strabismus.

Detection of vertical interocular phase disparities using luster as cue.

Interocular disparities in contrast generate an impression of binocular luster, providing a cue for their detection. Disparities in the carrier spatial phase of horizontally oriented Gabor patches also generate an impression of luster, so the question arises as to whether it is the disparities in local contrast that accompany the phase disparities that give rise to the luster. We examined this idea by comparing the detection of interocular spatial phase disparities with that of interocular contrast disparities in Gabor patches, in the latter case that differed in overall contrast rather than phase between the eyes. When bandwidth was held constant and Gabor spatial frequency was varied, the detection of phase and contrast disparities followed a similar pattern. However, when spatial frequency was fixed and Gabor envelope standard deviation (and hence number of modulation cycles) was varied, thresholds for detecting phase disparities followed a U-shaped function of Gabor standard deviation, whereas thresholds for contrast disparities, following an initial decline, were more-or-less constant as a function of Gabor standard deviation. After reviewing a number of possible explanations for the U-shape found with phase disparities, we suggest that the likely cause is binocular sensory fusion, the strength of which increases with the number of modulation cycles. Binocular sensory fusion would operate to reduce phase but not contrast disparities, thus selectively elevating phase disparity thresholds.

Development of a variety and quality evaluation method for Amomi fructus using GC, electronic tongue, and electronic nose.

Amomi fructus is rich in volatile components and valuable as a medicine and edible spice. However, the quality of commercially available A. fructus varies, and issues with mixed sources and adulteration by similar products are common. In addition, due to incomplete identification methods, rapid detection of the purchased A. fructus quality is still an issue. In this study, we developed qualitative and quantitative evaluation models to assess the variety and quality of A. fructus using GC, electronic tongue, and electronic nose to provide a rapid and accurate variety and quality evaluation method of A. fructus. The models performed well; the qualitative authenticity model had an accuracy of 1.00 (n = 64), the accuracy of the qualitative origin model was 0.86 (n = 44), and the quantitative model was optimal on the sensory fusion data from the electronic tongue and electronic nose combined with borneol acetate content, with R 2 = 0.7944, RMSEF = 0.1050, and RMSEP = 0.1349. The electronic tongue and electronic nose combined with GC quickly and accurately evaluated the variety and quality of A. fructus, and the introduction of multi-source information fusion technology improved the model prediction accuracy. This study provides a useful tool for quality evaluation of medicine and food.

Intelligent Parking Control Method Based on Multi-Source Sensory Information Fusion and End-to-End Deep Learning

To address the challenges of inefficient intelligent parking performance and reduced efficiency in complex environments, this study presents an end-to-end intelligent parking control model based on a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) architecture incorporating multi-source sensory information fusion to improve decision-making and adaptability. The model can produce real-time intelligent parking control decisions by extracting spatiotemporal features, including comprehensive 360-degree panoramic images and ultrasonic sensor distance measurements. To enhance the coverage of real-world environments in the dataset, a data collection platform was developed, leveraging the PreScan simulation platform in conjunction with actual parking environments. Consequently, a comprehensive parking environment dataset comprising various types was constructed. A deep learning model was devised to ameliorate horizontal and vertical control in intelligent parking systems, integrating Convolutional Neural Networks and Long Short-Term Memory in a parallel configuration. By meticulously accounting for parking environment characteristics, sliding window parameters were optimized, and transfer learning was employed for secondary model training to fortify the prediction accuracy. To ascertain the system’s robustness, simulation tests were performed. The ultimate results from the actual environment experiment revealed that the end-to-end intelligent parking model substantially surpassed the existing approaches, bolstering parking efficiency and effectiveness in complex contexts.

Analysis of stereopsis and fusion in school-aged children with reduced visual acuity due to refractive error.

In patients with strabismus, the stereopsis and Worth 4-dot (W4d) tests have often been used to evaluate whether sensory fusion is achieved. However, if patients face difficulties undergoing the Titmus or W4d test because of poor visual acuity (VA) due to refractive error abnormalities, the results of these tests cannot be appropriately interpreted. Therefore, we evaluated the correlation between distance uncorrected VA (UCVA) and sensory status in children with reduced VA due to refractive error abnormalities to identify the effects of refractive errors on sensory test results. We retrospectively reviewed the medical records of 195 children with reduced VA with VA improvement ≥ 20/25, Titmus stereoacuity ≤ 50 arcsec, and fusion in the W4d result after refractive error correction with spectacles. We evaluated the correlation between distance UCVA in logMAR and sensory status measured by the near Titmus stereotest and distance W4d test. Additionally, the minimum required UCVA for interpreting Titmus or W4d results was assessed using a receiver operating characteristic (ROC) curve. The UCVA showed a marginal but non-significant correlation with Titmus stereoacuity (p = 0.053) and a significant correlation with fusion in W4d (p < 0.001). The ROC curve analysis showed an optimal cut-point value of VA required for interpreting the results of W4d test as 0.3 logMAR (20/40 in Snellen acuity). Correcting refractive error in advance may help appropriately interpret sensory status in school-aged children with reduced VA due to refractive error abnormalities.