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Skip search results from other journals and go to results- 144 Journal of Medical Internet Research
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Improved uncertainty calibration in LLMs could enhance selective prediction methods, optimizing physician-artificial intelligence (AI) workflows in clinical settings. Future applications of a well-calibrated deprescribing CDS tool could flag cases where critical information is missing (eg, antipsychotics at unchanged doses for more than 3 months without a documented medication review).
JMIR Aging 2025;8:e69504
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These AI values were then summed across all relevant user needs to compute the weighted score (WS)=sum of absolute importance value, ranking the significance of each feature of the “WHATs” within the overall app structure. All these were ranked to highlight the most essential components of the MAwar application [21]. These analytical steps provided a detailed, quantified overview of the key priorities for the MAwar application’s development.
JMIR Form Res 2025;9:e65542
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Reference 59: AI-powered service robotics for independent shopping experiences by elderly and disabled
JMIR Aging 2025;8:e67632
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Reference 31: From local explanations to global understanding with explainable AI for trees
J Med Internet Res 2025;27:e65563
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In Hong Kong, the first AI-driven Cantonese psychological support tool, the Pai.ACT mobile app, was developed for parents of children with special education needs [11]. However, there is currently a lack of evidence on the effectiveness of AI chatbots in tackling mental health problems in the general public.
JMIR Hum Factors 2025;12:e65785
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In this context, integrating technologies such as artificial intelligence (AI), the Internet of Things (Io T), and edge intelligence (EI) into LTC presents substantial advantages [6]. AI facilitates predictive health care by enabling timely interventions and personalized care strategies, while Io T devices such as sensors and wearables provide continuous health monitoring, enhancing resident safety and autonomy [7,8].
J Med Internet Res 2025;27:e56692
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With the app for HCPs, they can (1) check, modify, or confirm the artificial intelligence (AI)–driven tailored exercise prescription and send it to patients; and (2) check the feedback information from patients and optimize the exercise prescription dynamically.
JMIR Mhealth Uhealth 2025;13:e60115
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