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Early detection of diabetic retinopathy (DR) is an urgent ophthalmological problem in Russia and globally. PURPOSE: This study assesses the prevalence of asymptomatic retinopathy and attempts to identify risk groups for its development in patients with type 1 and 2 diabetes mellitus (T1DM and T2DM). MATERIAL AND METHODS: The study involved clinics from 5 cities in the Russian Federation and it included 367 patients with DM, 34.88% men and 65.12% women, aged 50.88±20.55 years. 34.88% of patients suffered from T1DM, 65.12% suffered from T2DM, the average duration of the disease was 9.02±7.22 years. 58.31% of patients had a history of arterial hypertension, 13.08% had a history of smoking. The primary endpoint was the frequency of detection of diabetic changes in the eye fundus of patients with T1DM and T2DM in general; the secondary endpoint - same but separately, and for T2DM patients depending on the duration of the disease. The exploratory endpoint was the assessment of the influence of various factors on the development of DR. The patients underwent visometry (modified ETDRS table), biomicroscopy, mydriatic fundus photography according to the «2 fields¼ protocol. RESULTS: The average detection rate of DR was 12.26%, primarily observed in patients with T2DM (13.81%), women (9.26%), in both eyes (8.17%). Among patients with DR, 26 (19.55%) had glycated hemoglobin (HbA1c) level exceeding 7.5% (p=0.002), indicating a direct relationship between this indicator and the incidence of DR. Logistic regression analysis showed that the duration of diabetes of more than 10 years has a statistically significant effect on the development of DR. In the modified model for odds estimation, the likelihood of developing DR is increased by the duration of DM for more than 10 years; increased blood pressure; HbA1c level >7.5%. CONCLUSION: The obtained results, some of which will be presented in subsequent publications, highlight the effectiveness of using two-field mydriatic fundus photography as a screening for DR.

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INTRODUCTION: People with lived experience of a health issue can be engaged in research to address issues related to social justice, informing change through partnerships and an understanding of community perspectives and needs. Although photovoice has been applied to various disciplines and topics across the health sciences, the concrete design of the photovoice process and participants' experience of engaging in photovoice is not always well documented or understood. OBJECTIVE: This paper describes youth participants' experiences and perspectives with a youth-led photovoice design process on a study regarding COVID-19 vaccine confidence. METHOD: The sample consisted of 27 youth aged 14-24 who reported experiencing mental health and/or substance use challenges [MHSU] during the COVID-19 pandemic and some degree of COVID-19 vaccine confidence. Youth participated in a series of photography workshops, then each attended one of the six focus groups about both the topic and experience of the photovoice project. RESULTS: Four themes were constructed from the data: 1) Participating in a photovoice project was an enjoyable experience that had a positive effect on participants; 2) Shared group experiences contributed to building a safe space for participants; 3) Photography and the photovoice process served as a catalyst for reflection; 4) Photovoice shifted participants' perspectives on both the COVID-19 vaccine and photography. CONCLUSIONS: This project, a youth-engaged and youth-led photovoice study, describes how the photovoice methodology can be applied in a public health context to meaningfully involve young people and impact their lives. By involving youth in the co-construction of the study design and implementation, photovoice research can represent positive and empowering experiences for participants. Bringing together a diverse and multifaceted lived experience engagement research team structure strengthened the design, delivery, analysis, and interpretation of the project.

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Purpose: This study uses deep neural network-generated rim-to-disc area ratio (RADAR) measurements and the disc damage likelihood scale (DDLS) to measure the rate of optic disc rim loss in a large cohort of glaucoma patients. Methods: A deep neural network was used to calculate RADAR and DDLS for each optic disc photograph (ODP). Patient demographics, diagnosis, intraocular pressure (IOP), and mean deviation (MD) from perimetry were analyzed as risk factors for faster progression of RADAR. Receiver operating characteristic (ROC) curves were used to compare RADAR and DDLS in their utility to distinguish glaucoma from glaucoma suspect (GS) and for detecting glaucoma progression. Results: A total of 13,679 ODPs with evidence of glaucomatous optic nerve damage from 4106 eyes of 2407 patients with glaucoma or GS were included. Of these eyes, 3264 (79.5%) had a diagnosis of glaucoma, and 842 (20.5%) eyes were GS. Mean ± SD baseline RADAR of GS and glaucoma were 0.67 ± 0.13 and 0.57 ± 0.18, respectively (P < 0.001). Older age, greater IOP fluctuation, baseline MD, right eye, and diagnosis of secondary open-angle glaucoma were associated with slope of RADAR. The mean baseline DDLS of GS and glaucoma were 3.78 and 4.39, respectively. Both RADAR and DDLS showed a less steep slope in advanced glaucoma. In glaucoma, the change of RADAR and DDLS correlated with the corresponding change in MD. RADAR and DDLS had a similar ability to discriminate glaucoma from GS and detect disease progression. Area under the ROC curve of RADAR and DDLS was 0.658 and 0.648. Conclusions: Automated calculation of RADAR and DDLS with a neural network can be used to evaluate the extent and long-term rate of optic disc rim loss and is further evidence of long-term nerve fiber loss in treated patients with glaucoma. Translational Relevance: Our study provides a large clinic-based experience for RADAR and DDLS measurements in GS and glaucoma with a neural network.

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Objective: The study aimed to investigate the subjective method of estimating linear breast dimensions in comparison to the objective method. Methods: The reproducibility and accuracy of the subjective method of estimating linear breast dimensions during a simplified breast shape analysis were examined. Four linear breast dimensions including the distance from the sternal notch to the nipple, distance from the nipple to the inframammary fold, distance from the nipple to the midline and under-breast width were evaluated based on subjective estimates. Images from 100 women with natural breasts and without any history of breast surgery were reviewed by two examiners three times each. The cases were obtained from a large database of breast images captured using the Vectra Camera System (Canfield Scientific Inc., USA). The subjective data were then compared with the objective linear data from the Vectra Camera System in the automated analysis. Statistical evaluation was conducted between the three repeated estimates of each examiner, between the two examiners and between the objective and subjective data. Results: The intra-individual variations of the three subjective estimates were significantly greater in one examiner than in the other. This trend was consistent across all eight parameters in the majority of the comparisons of the standard deviations and variation coefficients, and the differences were significant in 14 out of 16 comparisons (p<0.05). Conversely, in the comparison between the subjective and objective data, the estimates were closer to the measurements in one examiner than the other. In contrast to the reproducibility observed, the assessment of the accuracy revealed that the examiner who previously presented with less reproducibility of the estimated data overall showed better accuracy in comparison to the objective data. The overall differences were inconsistent, with some being positive and others being negative. Regarding the distances from the sternal notch to the nipple and breast width, both examiners underestimated the values. However, the deviations were at different levels, particularly when considering the objective data from the Vectra Camera System as the gold standard data for comparison. Regarding the distance from the nipple to the inframammary fold, one examiner underestimated the distance, while the other overestimated it. An opposite trend was noted for the distance from the nipple to the midline. There were no differences in the estimates between the right and left sides of the breasts. The correlations between the measured and estimated distances were positive: as the objective distances increased, the subjective distances also increased. In all cases, the correlations were significant. However, the correlation for the breast width was notably weaker than that for the other distances. Conclusions: The error assessment of the subjective method reveals that it varies significantly and unsystematically between examiners. This is true when assessing the reproducibility as well as the accuracy of the method in comparison to the objective data obtained with an automated system.

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BACKGROUND: To analyse and compare the grading of diabetic retinopathy (DR) severity level using standard 35° ETDRS 7-fields photography and CLARUS™ 500 ultra-widefield imaging system. METHODS: A cross-sectional analysis of retinal images of patients with type 2 diabetes (n = 160 eyes) was performed for this study. All patients underwent 7-fields colour fundus photography (CFP) at 35° on a standard Topcon TRC-50DX® camera, and ultra-widefield (UWF) imaging at 200° on a CLARUS™ 500 (ZEISS, Dublin, CA, USA) by an automatic montage of two 133° images (nasal and temporal). 35° 7-fields photographs were graded by two graders, according to the Early Treatment Diabetic Retinopathy Study (ETDRS). For CLARUS UWF images, a prototype 7-fields grid was applied using the CLARUS review software, and the same ETDRS grading procedures were performed inside that area only. Grading of DR severity level was compared between these two methods to evaluate the agreement between both imaging techniques. RESULTS: Images of 160 eyes from 83 diabetic patients were considered for analysis. According to the 35° ETDRS 7-fields images, 22 eyes were evaluated as DR severity level 10-20, 64 eyes were evaluated as DR level 35, 41 eyes level 43, 21 eyes level 47, 7 eyes level 53, and 5 eyes level 61. The same DR severity level was achieved with CLARUS 500 UWF images in 92 eyes (57%), showing a perfect agreement (k > 0.80) with the 7-fields 35° technique. Fifty-seven eyes (36%) showed a higher DR level with CLARUS UWF images, mostly due to a better visualization of haemorrhages and a higher detection rate of intraretinal microvascular abnormalities (IRMA). Only 11 eyes (7%) showed a lower severity level with the CLARUS UWF system, due to the presence of artifacts or media opacities that precluded the correct evaluation of DR lesions. CONCLUSIONS: UWF CLARUS 500 device showed nearly perfect agreement with standard 35° 7-fields images in all ETDRS severity levels. Moreover, CLARUS images showed an increased ability to detect haemorrhages and IRMA helping with finer evaluation of lesions, thus demonstrating that a UWF photograph can be used to grade ETDRS severity level with a better visualization than the standard 7-fields images. TRIAL REGISTRATION: Approved by the AIBILI - Association for Innovation and Biomedical Research on Light and Image Ethics Committee for Health with number CEC/009/17- EYEMARKER.

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OBJECTIVES: To investigate the influence of vertical facial type on esthetic perception of lower facial asymmetry as evaluated by orthodontists, dentists, and laypeople. MATERIALS AND METHODS: Three adult females were selected with normal growth patterns (NGP), vertical growth patterns (VGP), and horizontal growth patterns (HGP). Frontal photographs were made symmetric and digitally altered, rotating the lower facial third clockwise, ranging from 0° to 6° in 1° increments. A web-based survey was designed with 24 images (eight images for each model) in random order. Each image was rated using a scale ranging from 0 (unattractive) to 10 (the most attractive) by 75 orthodontists, 73 dentists, and 78 laypeople. Kruskal-Wallis test was used to determine whether differences among groups were significant. Pairwise comparisons were made with Mann-Whitney U test. The significance level was set at P = .05. RESULTS: In NGP, orthodontists and dentists could recognize slighter deviations (2°), while deviations in VGP and HGP under 3° were not recognized by all groups. Severe deviations (≥4°) were distinguished better in HGP by orthodontists and laypeople. In VGP and NGP, there was no significant difference over 4°. CONCLUSIONS: Growth pattern has a significant influence on perception of lower facial asymmetry. Less severe asymmetry can be detected better in NGP. In severe degrees, increments of asymmetry can be perceived more in HGP by orthodontists and laypeople.

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BACKGROUND: Many people view people with intellectual disability primarily as needing help. That perspective limits relationships and can promote discrimination. We sought to better understand social relationships among young adults with intellectual disability. METHOD: Seven postsecondary students with intellectual disability participated in a photovoice study, sharing photos and stories about giving and receiving help. They participated in individual interviews, a group meeting, and a photo exhibition, and helped identify results and conclusions. RESULTS: Participants viewed themselves as helpers and recipients of help. Themes were: foundational importance of families; openness to being helped; personal growth through challenging experiences; and tension between wanting to help and risks of helping others. Participants wanted to raise awareness that people with disabilities can help others, educate them about disability, and contribute to research. CONCLUSIONS: Many young adults with intellectual disability want to contribute to relationships, which are often limited by others' expectations about disability.

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Infectious diseases in livestock not only cause significant economic losses but also affect food security. Although wildlife may be involved in these infectious diseases by serving as reservoirs, research has primarily focused on livestock and related species. Moreover, while these species represent a potential threat in wildlife-borne infectious diseases, comprehensive surveys of the presence of various species are limited. In this study, we aimed to quantitatively investigate the occurrence of various mammals and birds at three pig farms in Japan. We conducted camera trap surveys from October 15, 2020, to March 24, 2022, and determined the relative abundance index inside and outside the sanitary control zone. Wild boar (Sus scrofa), sika deer (Cervus nippon), and Japanese serow (Capricornis crispus) were photographed only outside the sanitary control zone. In contrast, small and medium-sized mammals, such as feral cats (Felis catus), raccoons (Procyon lotor), and rodent species (Muridae), and birds, such as the rufous oriental turtle dove (Streptopelia orientalis) and crows of the genus Corvus, were photographed both inside and outside the sanitary control zone. This comprehensive quantitative evidence suggests that various mammals and birds may be in indirect contact with livestock, highlighting the need to improve biosecurity at livestock farms. Moreover, while fences are effective against large mammals, they are inefficient against small to medium-sized mammals and birds. Therefore, the results of this study provide important insights into enhancing biosecurity on livestock farms by strengthening physical fencing, disinfecting clothing and equipment, and complying with standards of hygiene management.

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OBJECTIVES: Despite global research on early detection of age-related macular degeneration (AMD), not enough is being done for large-scale screening. Automated analysis of retinal images captured via smartphone presents a potential solution; however, to our knowledge, such an artificial intelligence (AI) system has not been evaluated. The study aimed to assess the performance of an AI algorithm in detecting referable AMD on images captured on a portable fundus camera. DESIGN, SETTING: A retrospective image database from the Age-Related Eye Disease Study (AREDS) and target device was used. PARTICIPANTS: The algorithm was trained on two distinct data sets with macula-centric images: initially on 108,251 images (55% referable AMD) from AREDS and then fine-tuned on 1108 images (33% referable AMD) captured on Asian eyes using the target device. The model was designed to indicate the presence of referable AMD (intermediate and advanced AMD). Following the first training step, the test set consisted of 909 images (49% referable AMD). For the fine-tuning step, the test set consisted of 238 (34% referable AMD) images. The reference standard for the AREDS data set was fundus image grading by the central reading centre, and for the target device, it was consensus image grading by specialists. OUTCOME MEASURES: Area under receiver operating curve (AUC), sensitivity and specificity of algorithm. RESULTS: Before fine-tuning, the deep learning (DL) algorithm exhibited a test set (from AREDS) sensitivity of 93.48% (95% CI: 90.8% to 95.6%), specificity of 82.33% (95% CI: 78.6% to 85.7%) and AUC of 0.965 (95% CI:0.95 to 0.98). After fine-tuning, the DL algorithm displayed a test set (from the target device) sensitivity of 91.25% (95% CI: 82.8% to 96.4%), specificity of 84.18% (95% CI: 77.5% to 89.5%) and AUC 0.947 (95% CI: 0.911 to 0.982). CONCLUSION: The DL algorithm shows promising results in detecting referable AMD from a portable smartphone-based imaging system. This approach can potentially bring effective and affordable AMD screening to underserved areas.

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OBJECTIVE: Keratitis is the primary cause of corneal blindness worldwide. Prompt identification and referral of patients with keratitis are fundamental measures to improve patient prognosis. Although deep learning can assist ophthalmologists in automatically detecting keratitis through a slit lamp camera, remote and underserved areas often lack this professional equipment. Smartphones, a widely available device, have recently been found to have potential in keratitis screening. However, given the limited data available from smartphones, employing traditional deep learning algorithms to construct a robust intelligent system presents a significant challenge. This study aimed to propose a meta-learning framework, cosine nearest centroid-based metric learning (CNCML), for developing a smartphone-based keratitis screening model in the case of insufficient smartphone data by leveraging the prior knowledge acquired from slit-lamp photographs. METHODS: We developed and assessed CNCML based on 13,009 slit-lamp photographs and 4,075 smartphone photographs that were obtained from 3 independent clinical centers. To mimic real-world scenarios with various degrees of sample scarcity, we used training sets of different sizes (0 to 20 photographs per class) from the HUAWEI smartphone to train CNCML. We evaluated the performance of CNCML not only on an internal test dataset but also on two external datasets that were collected by two different brands of smartphones (VIVO and XIAOMI) in another clinical center. Furthermore, we compared the performance of CNCML with that of traditional deep learning models on these smartphone datasets. The accuracy and macro-average area under the curve (macro-AUC) were utilized to evaluate the performance of models. RESULTS: With merely 15 smartphone photographs per class used for training, CNCML reached accuracies of 84.59%, 83.15%, and 89.99% on three smartphone datasets, with corresponding macro-AUCs of 0.96, 0.95, and 0.98, respectively. The accuracies of CNCML on these datasets were 0.56% to 9.65% higher than those of the most competitive traditional deep learning models. CONCLUSIONS: CNCML exhibited fast learning capabilities, attaining remarkable performance with a small number of training samples. This approach presents a potential solution for transitioning intelligent keratitis detection from professional devices (e.g., slit-lamp cameras) to more ubiquitous devices (e.g., smartphones), making keratitis screening more convenient and effective.

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BACKGROUND: To support dentists with limited experience, this study trained and compared six convolutional neural networks to detect crossbites and classify non-crossbite, frontal, and lateral crossbites using 2D intraoral photographs. METHODS: Based on 676 photographs from 311 orthodontic patients, six convolutional neural network models were trained and compared to classify (1) non-crossbite vs. crossbite and (2) non-crossbite vs. lateral crossbite vs. frontal crossbite. The trained models comprised DenseNet, EfficientNet, MobileNet, ResNet18, ResNet50, and Xception. FINDINGS: Among the models, Xception showed the highest accuracy (98.57%) in the test dataset for classifying non-crossbite vs. crossbite images. When additionally distinguishing between lateral and frontal crossbites, average accuracy decreased with the DenseNet architecture achieving the highest accuracy among the models with 91.43% in the test dataset. CONCLUSIONS: Convolutional neural networks show high potential in processing clinical photographs and detecting crossbites. This study provides initial insights into how deep learning models can be used for orthodontic diagnosis of malocclusions based on intraoral 2D photographs.

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A focus on the materiality within ageing studies brings into focus the material dimensions of space, rhythms and material objects in everyday life. The aim of this paper is to explore meanings around space in the context of the daily lives of people growing older and how materiality is embodied, embedded and performed in the material and social context of our everyday lives. The paper draws on data from the empirical research study Photographing Everyday Life: Ageing, Lived Experiences, Time and Space funded by the ESRC, UK. The focus of the project was to explore the significance of the ordinary and day-to-day and focus on the everyday meanings, lived experiences, practical activities, and social contexts in which people in mid-to-later life live their daily lives. The research involved a diverse sample of 62 women and men aged 50 years and over who took photographs of their different daily routines to create a weekly visual diary. The data reveals three interconnecting whilst analytically distinct themes within the materiality of ageing and the spaces around everyday life: (1) Space, materiality and everyday life; (2) Rhythms, routines and materiality; and (3) Social and material connectivity. The paper concludes by highlighting a complex engagement with space, in which participants drew and re-drew boundaries surrounding meanings of space, sometimes within the same interview or even within a discussion of the same photograph. Moreover, a focus on materiality has elicited rich and illuminating accounts of how people in mid-to-later life experience the intersections between ageing, bodies, time and space in their everyday lives.

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OBJECTIVE: People living in socioeconomically disadvantaged neighbourhoods in Sweden engage less in physical activity compared with the general population, contributing to an elevated risk of cardiometabolic diseases. To inform targeted and effective public health interventions, understanding residents' lived experiences is essential. This study sought to understand the values and priorities associated with physical activity by people living in a socioeconomically disadvantaged neighbourhood in Region Uppsala, Sweden, informing a public health intervention to prevent cardiometabolic diseases and promote healthy and active living. DESIGN: The study employed a photo-elicitation methodology, combining participants' photographs with semistructured interviews. Data were analysed using reflexive thematic analysis. SETTING: A socioeconomically disadvantaged neighbourhood in the city of Uppsala, Sweden, characterised by a large proportion of households with low income, a large percentage of individuals living on economic aid, high unemployment rates, low educational attainment and high levels of poor health. PARTICIPANTS: A total of 15 participants (8 women and 7 men) were purposively sampled between February and August 2023 and recruited via fieldwork, social media and local stakeholders. RESULTS: Participants described challenging conditions for physical activity, including conflicting values and priorities between themselves and the local authorities. Four main areas emerged as sources of tension; difficulties influencing decision-making processes affecting the neighbourhood, unmet needs of gender-separated physical activity spaces, discrepancy between the perceived pressure and individual motivation to be active, and their perception of health being solely an individualised responsibility, but their need of support. CONCLUSIONS: This study underscores the importance of understanding and navigating the values and priorities influencing physical activity among residents in a socioeconomically disadvantaged neighbourhood, when designing public health interventions. Findings reveal that residents' needs for being physically active are not met by the authorities who are perceived to have different priorities, and that the lack of influence of citizen voices undermines trust in the local authorities.

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OBJECTIVE: Although the relative survival rate of childhood cancer has increased substantially in recent years, the pursuit of successful outcomes is often accompanied by negative impacts on pediatric and adolescent cancer survivors and their parents' physical and psychological well-being. However, little is known about their experiences during the period of cancer survivorship. This study aimed to gain an understanding of the experience of cancer survivorship among pediatric and adolescent cancer survivors and their parents. METHODS: This study utilized a descriptive qualitative study employing the photovoice design. From September 2022 to March 2023, 17 pediatric and adolescent cancer survivors (9-18 years), who had completed active treatment at least 6 months before recruitment, participated in this study. A total of 217 photographs submitted by survivors and their parents and the interview data, were thematically analyzed to identify themes and subthemes. RESULTS: The analysis revealed five prominent themes: indelible marks, struggling with late effects, striving to return to normalcy, the strength of support, and living in the moment and hope for the future. CONCLUSION: The findings shed light on the experiences of pediatric and adolescent cancer survivors and their parents throughout the cancer journey, elucidating the influence on both negative and positive aspects. Additionally, the study highlighted that photovoice facilitated self-reflection, the discovery of values, and the recognition of strengths and can be a therapeutic strategy for pediatric and adolescent cancer survivors and their parents in further research.

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Introduction: Average adults are recommended to have 7-8 h of sleep. However insufficient sleep (IS defined as <7 h/nightly) is associated with increased risk of chronic diseases such as cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Traditional, complementary, and integrative medicine (TCIM), a burgeoning area of research and practice, leverages both modern and traditional approaches to improve health. Despite TCIM's recognition as a tool to improve sleep and related outcomes, there is a gap in literature in addressing its impact among black individuals, who experience a disproportionate burden of IS and chronic disease. This qualitative study aimed to increase understanding of TCIM practices to overcome IS and overall health in black communities. Methods: Using photovoice methodology, a qualitative tool which applies community-engaged principles to produce culturally informed results through interviews and digital media, consented participants were recruited from Miami, Florida and (1) instructed to capture images over one week that communicated their TCIM to improve sleep and overall health on their mobile device; (2) interviewed using individual, semi-structured procedures to add "voice" to the "photos" they captured for ~20 min; and (3) invited to participate in follow-up focus groups for refined discussion and data triangulation for ~1.5 h. Both individual and focus group interviews were conducted over Zoom with recordings transcribed for formal content analysis using Nvivo software. Results: The sample included N = 25 diverse US black individuals (M = 37, SD = 13, range 21-57). Approximately a quarter of the sample were unemployed (N = 7) and majority were women (N = 21). Results highlighted five themes including: (1) natural wellness (sleep supplements, comfort beverages, aromatherapy, herbalism, outdoors); (2) self-care (self-maintenance, physical activity, spatial comfort); (3) leisure (pet support, play); (4) mental stimulation (mindfulness, reading); and (5) spiritual wellness (faith-based practices). Study results elucidate the heterogeneity of diverse US black individuals regarding sociocultural knowledge, beliefs, and behaviors. Conclusion: Addressing IS in black communities requires a comprehensive strategy that integrates cultural sensitivity, family and community dynamics, education, mental health support, and informed policymaking. Future studies should consider how sleep health literacy, stress appraisal, and coping strategies may vary by race/ethnicity for tailored intervention.

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BACKGROUND: DiversiPrEP is a culturally-tailored PrEP program for LMSM offered in South Florida. DiversiPrEP navigates LMSM through their PrEP journey, including education, deciding if PrEP is relevant for them, payment, and accessing/maintaining PrEP use. DiversiPrEP includes five ERIC strategies (Increase Demand, Promote Adaptability, Alter Client Fees, Intervene with Clients to Enhance Uptake and Adherence, and Tailor Strategies). DESCRIPTION: Photovoice was used to conduct five two-part focus groups with LMSM (n = 12) and Non-LMSM (n = 12). In the first session, trainers provided guidance on selecting and contextualizing photos to generate CFIR themes. Then, participants captured photos that embodied their lived experiences accessing PrEP. In the second session, using SHOWeD, participants discussed photos, identifiedhow photos relate to culturally relevant issues. Triangulation approaches compared/contrasted themes between LMSM and Non-LMSM. RESULTS: Five central themes emerged around barriers and facilitators to PrEP services: 1) the need for normalizing PrEP messages within the MSM community, 2) the need for normalizing PrEP messages outside the MSM community, 3) the need for expanding PrEP knowledge, 4) different motivations for using PrEP, and 5) the presence of structural barriers that limit PrEP access. This study compared similarities and differences of barriers and facilitators to PrEP use between Latino/a and non-Latino/a MSM. Similarities included the built environment (outer setting) as a barrier, the need for normalizing PrEP messaging within and outside of the MSM community, and the need to expand PrEP knowledge. Differences between Latino/a and non-Latino/a MSM were found in assessing the motivation and personal drivers (inner setting) for initiating PrEP associated with how participants viewed their responsibilities to self or others. CONCLUSIONS: Photovoice with focus groups identified CFIR constructs that can guide the large-scale implementation of a client-centered PrEP service model with telehealth for both Latino/a and non-Latino/a MSM. Implementing client-centered accessible PrEP programs is an essential step to promoting sexual-health equity.

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IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess children's eye conditions from mobile photographs could facilitate convenient and early identification of eye disorders in a home setting. OBJECTIVE: To develop an AI model to identify myopia, strabismus, and ptosis using mobile photographs. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study was conducted at the Department of Ophthalmology of Shanghai Ninth People's Hospital from October 1, 2022, to September 30, 2023, and included children who were diagnosed with myopia, strabismus, or ptosis. MAIN OUTCOMES AND MEASURES: A deep learning-based model was developed to identify myopia, strabismus, and ptosis. The performance of the model was assessed using sensitivity, specificity, accuracy, the area under the curve (AUC), positive predictive values (PPV), negative predictive values (NPV), positive likelihood ratios (P-LR), negative likelihood ratios (N-LR), and the F1-score. GradCAM++ was utilized to visually and analytically assess the impact of each region on the model. A sex subgroup analysis and an age subgroup analysis were performed to validate the model's generalizability. RESULTS: A total of 1419 images obtained from 476 patients (225 female [47.27%]; 299 [62.82%] aged between 6 and 12 years) were used to build the model. Among them, 946 monocular images were used to identify myopia and ptosis, and 473 binocular images were used to identify strabismus. The model demonstrated good sensitivity in detecting myopia (0.84 [95% CI, 0.82-0.87]), strabismus (0.73 [95% CI, 0.70-0.77]), and ptosis (0.85 [95% CI, 0.82-0.87]). The model showed comparable performance in identifying eye disorders in both female and male children during sex subgroup analysis. There were differences in identifying eye disorders among different age subgroups. CONCLUSIONS AND RELEVANCE: In this cross-sectional study, the AI model demonstrated strong performance in accurately identifying myopia, strabismus, and ptosis using only smartphone images. These results suggest that such a model could facilitate the early detection of pediatric eye diseases in a convenient manner at home.

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Purpose: The purpose of this study was to explore the perceived value of clinical photographs for traumatic dental injuries (TDIs). Methods: A survey was sent to members of the American Academy of Pediatric Dentistry (AAPD). The survey collected respondents' responses to case-based questions with and without photographs, and opinions about the value of photography for TDI. Results: A total of 496 respondents (5.8 percent response) completed the survey. Overall, no significant difference in correct answers was observed between cases with and without a photograph (P=0.09). The majority of respondents (82.2 percent) agreed that photographs should be taken for the management of TDIs, with 88.7 percent stating that the photographs aided in the diagnosis of TDIs. The majority of respondents acknowledged the time-saving (80.9 percent) and legal importance (77.0 percent) of photographs. Conclusion: Photographs should be taken in the management of traumatic dental injuries when possible for history and documentation purposes.

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