e.g. mhealth
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Skip search results from other journals and go to results- 287 JMIR mHealth and uHealth
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Evaluating User Experience and Satisfaction in a Concussion Rehabilitation App: Usability Study
Reference 17: Smartphone and tablet apps for concussion road warriors (team clinicians): a systematicsmartphone
JMIR Form Res 2025;9:e67275
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One such recovery support tool funded through the Missouri Opioid State Targeted Response grant is a smartphone app, coined u MAT-R, that was designed to support individuals in recovery from OUDs and stimulant use disorders.
In this study, we aimed to characterize uptake of and overall engagement with the u MAT-R app and in-app electronic health coach (e Coach) messaging feature among those linked to services through the Missouri Opioid State Targeted Response grant funding.
JMIR Mhealth Uhealth 2025;13:e54753
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Reference 15: Development and usability testing of FOCUS: a smartphone system for self-management ofsmartphone
JMIR Form Res 2025;9:e42406
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The Floodlight Open app assesses MS-related functional ability through smartphone sensor–based “active” tests (ie, assessments that require active input from the user) and was specifically developed for use in a BYOD setting [33]. It was deployed in Floodlight Open, a global, open-access, digital-only study that was designed to understand the drivers and barriers in the deployment and persistence of use of a smartphone app in a naturalistic setting and broad study population [33].
J Med Internet Res 2025;27:e63090
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We chose to place the smartphone over the sacrum in accordance with a prior study that demonstrated good or excellent between-day reliability [32]. The MATLAB (Math Works) mobile app was used to collect smartphone orientation and acceleration at 100 Hz; smartphone orientation data were estimated from rotation vectors collected by the smartphone’s virtual orientation sensor, which integrates accelerometer, gyroscope, and magnetometer data.
JMIR Rehabil Assist Technol 2025;12:e65342
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The smartphone-based, acoustical snore detection algorithm used in the Sleep Watch app was developed by the Bodymatter team in-house, using a deep neural net model trained on over 60,000 individually validated, real-world snore and nonsnore sounds. The Sleep Watch snore detection capabilities were then tested against an array of snoring and sleep audio files in a controlled acoustic setting.
JMIR Form Res 2025;9:e67861
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Reference 10: The effectiveness of smartphone apps for lifestyle improvement in noncommunicable diseasessmartphone
Interact J Med Res 2025;14:e65863
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Internet or smartphone app-based remote assessment and monitoring of migraine [9,10] may increase the efficiency of care delivery and facilitate telemedicine, electronic [11], and face-to-face visits while delivering migraine educational content.
JMIR Form Res 2025;9:e66763
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In the present pilot feasibility study, we explored the potential of a smartphone app to detect disruptive life events and early warning signs of HIV care disengagement over a 1-year period among 59 people who use drugs living with HIV. Using a weekly survey within a smartphone app designed to support substance use disorder recovery, we assessed how often people who use drugs used the smartphone app and reported experiencing disruptive life events.
JMIR Form Res 2025;9:e59953
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We formulated the following search string using a combination of different words related to topics, such as smartphone, smartwatch, machine learning, health, and medicine, to search different electronic databases: ((ML OR machine learning) AND (health* OR medic* OR disease) AND (smartphone OR smart phone OR smartwatch OR smart watch OR smart devices)).
JMIR AI 2025;4:e59094
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