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- 298 JMIR mHealth and uHealth
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Quantitative Assessment of Strabismus Using Cloud AI Computing: Validation Study
Most photoscreening devices, including smartphone apps, are limited to measuring manifested strabismus, and intermittent patients with strabismus are likely to be missed. The ability to elicit and capture the eye movement based on covering 1 or both eye alternatingly remains a challenging problem for mobile apps and many other photoscreening devices.
JMIR Form Res 2025;9:e79280
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Smartphone use has become widespread in modern societies, particularly among young adults. This age group differs from older ones by having higher involvement in smartphone use and a greater propensity to use the devices for social interactions, dating, mental health, and well-being services [1-7]. Difficulties related to mastering smartphone use and specific digital services, such as social media, have been reported in numerous studies from multiple countries [8,9].
JMIR Ment Health 2025;12:e78334
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Passive data is sourced from the user’s smartphone and smartwatch. Smartphone data contain phone usage patterns (eg, screen time per app), revealing a user’s digital footprint. Additionally, smartphones include a multitude of sensors (eg, accelerometers, GPS location sensors, and light and proximity sensors), providing detailed measurements about users’ daily life and their environment.
JMIR Mhealth Uhealth 2025;13:e67141
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AR as a tool to encourage physical activity in children is attractive due to its easy access and portability, being predominantly used on a smart device (eg, smartphone or tablet) already owned by many families, and its ability for use in both indoor and outdoor environments.
JMIR Pediatr Parent 2025;8:e75302
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Previous perinatal digital phenotyping studies, such as the Mom2 B study [2] and the Postpartum Mothers Mobile Study [3], have shown the feasibility of smartphone-based prediction of outcomes, EMA for post partum and breastfeeding, and mobile tracking of maternal health. Although the Mom2 B study relied primarily on smartphone data, our protocol extends this work by integrating synchronized wearable data and multiple app-based platforms.
JMIR Res Protoc 2025;14:e77175
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Briefly, CT-155 was developed as a smartphone-based DTx that provides aspects of psychosocial intervention techniques adjunctive to standard-of-care antipsychotic medication to treat negative symptoms of schizophrenia [74,81]. CT-155 was granted Breakthrough Device designation in December 2023 [82]. Here, we discuss the rationale and study design for the CONVOKE study, which refers to study protocol version 5.0 (dated September 2024).
JMIR Res Protoc 2025;14:e81293
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The aims of this feasibility and efficacy study were to assess the acceptability and feasibility of a semiguided, smartphone-based, serious gaming app administered as an add-on to conventional treatment among patients with AUD. As secondary objectives, we wanted to explore whether the training program could show improvements in cognitive performance and if potential benefits on alcohol consumption and craving could be observed.
JMIR Ment Health 2025;12:e67167
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In practice, there has been a surge in the use of commercially available mindfulness-based smartphone apps as alternatives to formal interventions.
JMIR Form Res 2025;9:e67366
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Smartphones have wide reach and integration into young adults’ lives (98% own a smartphone) [9]. These devices offer great opportunities to deliver cessation interventions by delivering messages suggesting coping strategies “in the moment” when smokers need cessation support. However, few cessation apps deliver evidence-based intervention content [10,11] and content tailored to individual needs [12-14].
JMIR Res Protoc 2025;14:e74388
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