e.g. mhealth
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Skip search results from other journals and go to results- 5 Journal of Medical Internet Research
- 2 JMIR Formative Research
- 1 JMIR AI
- 1 JMIR Medical Education
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Acoustic and Natural Language Markers for Bipolar Disorder: A Pilot, mHealth Cross-Sectional Study
Multimodal, smartphone-integrated digital assessments could serve as powerful tools for clinical purposes to remotely complement standard mental health evaluations, potentially contributing to distinguish clinical conditions in people with BD. Feasibility of similar systems seems promising, though issues related to privacy, intrusiveness, and clinical therapeutic relationships should be carefully considered.
JMIR Form Res 2025;9:e65555
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Participants provided self-annotated emotional states over 2 weeks, creating a rich, multimodal resource for understanding daily mental health dynamics.
Developing a macro-micro framework for personalized daily mental health. Our framework develops a multimodal and multitask learning (MTL) strategy, innovatively built global emotion embeddings with individual personalization embedding.
JMIR Ment Health 2024;11:e59512
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According to user evaluations, multimodal interaction with voice communication and implementation of direct actions in the environment were viewed as positive and provided a moderate level of presence. However, communication accuracy and technical features related to virtual object manipulation required improvement. To the best of our knowledge, this is the first study to combine voice interactions with direct hand manipulations in practical nursing training.
JMIR Med Educ 2024;10:e53106
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Multimodal ChatGPT-4V for Electrocardiogram Interpretation: Promise and Limitations
Accuracy of the multimodal Chat GPT-4 V model in answering multiple-choice questions related to electrocardiogram (ECG) interpretation. The number of correct responses among 3 attempts for each question are shown from left to right. The accuracy rates with at least 1, 2, and 3 correct responses are annotated on the right from the bottom to the top. Different shapes represent different question types. We evaluated Chat GPT-4 V responses using the official reference answers as a standard for reliability.
J Med Internet Res 2024;26:e54607
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The framework is designed to induce improved predictions for multimodal sensing. It balances both user-agnostic and personalized modeling of small data sets encountered often in mental and physical health–based studies.
JMIR AI 2024;3:e47805
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However, studies comprehensively evaluating personalized hypertension management (which focuses on individual differences, customized approach, and incorporation of multimodal data, digital transformation, and multimodal intervention) using rigorous assessments to determine its effectiveness are scarce.
J Med Internet Res 2023;25:e52464
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We predicted the ratings based on user behavioral indicators using multimodal features (Praat [24], Open Face [25], and Open Pose [26]) and BERT [22] similarity scores between the utterances spoken by the conversational agent and the users. Random forest predicted the scores using these features, and 2 psychiatrists rated the ground truth of these values.
JMIR Form Res 2023;7:e44857
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Previously, we reported a multimodal digital care program (DCP) that integrates physical therapy exercise-based management with a psychoeducational component, including CBT, that aims to encourage patients to develop self-management skills and strategies for their pain. This DCP has been validated in different MSK conditions in chronic [37], acute [38,39], and postsurgical contexts [40-43].
J Med Internet Res 2022;24(7):e38942
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We present a research protocol to assess the efficacy of a multimodal sensor system combining video, audio, actigraphy, noninvasive EEG, and heart rate monitoring to assess differences in individuals with schizophrenia and unipolar major depressive disorder and controls (patients with no history of mental illness in the preceding year).
JMIR Res Protoc 2022;11(7):e36417
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