e.g. mhealth
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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
- 3 JMIR Formative Research
- 1 JMIR AI
- 1 JMIR Human Factors
- 1 JMIR Medical Education
- 1 JMIR Mental Health
- 1 JMIR Research Protocols
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- 0 JMIR Medical Informatics
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- 0 JMIR mHealth and uHealth
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Beyond text-based tasks, there has been a growing interest in the use of vision-language multimodal LLMs, such as Microsoft’s Large Language and Visual Assistant (LLa VA), which combines a visual encoder with a general LLM to allow it to synthesize both image and text data [12]. Like text-based LLMs, they can be further fine-tuned with domain-specific knowledge.
JMIR Form Res 2025;9:e70863
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After confirming the feasibility, acceptability, and learnability of the MSOC [14], a large randomized controlled trial (RCT) was designed and is currently being conducted to investigate the effectiveness of a multimodal lifestyle intervention course (IC) in improving health outcomes and Qo L in people living with MS compared to a standard-care course (SCC) [15].
JMIR Hum Factors 2025;12:e59363
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Only 1 (5%) out of 21 studies used a multimodal approach, collecting diverse information including text, audio, facial expressions, heart rate, and eye movement during participant interactions with a virtual assistant. This study was classified as “multimodal technology.” Among the 11 (52%) out of 21 studies that directly distinguished between UD and BD, 8 (73%) described the mood states of patients (depressive, manic, mixed, or euthymic state).
J Med Internet Res 2025;27:e72229
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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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