e.g. mhealth
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Skip search results from other journals and go to results- 94 Journal of Medical Internet Research
- 46 JMIR Formative Research
- 28 JMIR Medical Education
- 19 JMIR Human Factors
- 19 JMIR Research Protocols
- 14 JMIR mHealth and uHealth
- 8 JMIR Mental Health
- 7 JMIR Dermatology
- 7 JMIR Medical Informatics
- 6 JMIR Cancer
- 4 JMIR Pediatrics and Parenting
- 3 JMIR AI
- 3 JMIR Aging
- 2 Interactive Journal of Medical Research
- 1 Asian/Pacific Island Nursing Journal
- 1 Iproceedings
- 1 JMIR Cardio
- 1 JMIR Diabetes
- 1 JMIR Nursing
- 1 JMIR Perioperative Medicine
- 1 JMIR Serious Games
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Public Health and Surveillance
- 0 JMIR Rehabilitation and Assistive Technologies
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- 0 JMIR Challenges
- 0 JMIR Biomedical Engineering
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- 0 Journal of Participatory Medicine
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- 0 Transfer Hub (manuscript eXchange)
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- 0 Online Journal of Public Health Informatics
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While the performance of generative AI chatbots has varied depending on the disease queried, complexity of the query, and brand of chatbot used, these tools show promise for being reliable health information resources in the future [3,5,6].
JMIR Cancer 2025;11:e72522
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However, there were serious concerns about the safety of this chatbot when it was modified for wider public use [30]. More specifically, in June 2023, Tessa chatbot deviated from its preprogrammed answers to provide dieting and weight loss advice, which can be particularly harmful in eating disorder settings. The incident received a great deal of publicity and commentary, and Tessa chatbot has not been implemented in any public setting since to our knowledge [31].
J Med Internet Res 2025;27:e70874
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Chat GPT, a chatbot powered by GPT-3/4 was released by Open AI in November 2022, incorporating billions of parameters that enable it to comprehend and generate human-like text with the capability of context creation. Its intuitive interface and capacity for prompt engineering have enabled diverse applications across domains [2].
In medicine, recent studies have demonstrated Chat GPT’s potential to support clinical decision-making, summarize complex medical data, and streamline documentation processes.
JMIR Med Educ 2025;11:e58801
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One researcher has highlighted additional critical concerns that are specific to health care organizations that seek to use AI chatbots, including a need to align chatbot design and security with Healthcare Insurance Portability and Accountability Act (HIPAA) regulations that govern patient protections in care delivery [21].
Optimizing digital tools for substance use is warranted.
JMIR Hum Factors 2025;12:e69144
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The system (Figure 3) was designed around a custom conversational agent chatbot [26] to address several limitations associated with the public Open AI chatbot interface, particularly with regard to prompt control, user privacy, and the relevance of the source material. To ensure controlled interactions, the chatbot was programmed using a fixed, carefully constructed prompt that guided all responses.
J Med Internet Res 2025;27:e70131
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In scenario 1 of cycle 1 (sign-in, chatbot, and Event Profile), participants reported a low contrast between the text and the background and small font at sign-in. Participants also wanted clarification that the chatbot was not a real person.
JMIR Hum Factors 2025;12:e57583
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Reference 4: Evaluation of oropharyngeal cancer information from revolutionary artificial intelligence chatbot Reference 15: Developing an AI-assisted educational chatbot for radiotherapy using the IBM Watson assistantchatbot
JMIR Cancer 2025;11:e63677
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The program comprises the following three components: (1) remote monitoring of BP with a Bluetooth-enabled BP machine at least once a week with the readings transmitted to the public primary care clinic through the Health Discovery+ app; (2) care team support including monitoring of transmitted readings every month, contacting the patient via teleconsultations if their condition is not well-controlled or needs medication titration; and (3) in-app support with the provision of digital chatbot through helpful
J Med Internet Res 2025;27:e59275
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It will fill the gap of the existing studies in the DH domain in designing a CA (or chatbot) that encourages and educates patients about medication adherence.
In the following subsections, we will review the prior work in related research studies.
To fill the gap in the existing studies and strategically motivate patients to change medication adherence behavior, we searched for suitable psychological theories to support our CA dialogue.
JMIR Cardio 2025;9:e55846
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To verify the effects of the chatbot intervention, we calculated the chatbot engagement score exclusively for the treatment group. This score incorporated several elements, including the length and duration of user responses and emotional scores derived from conversations with Moa.
JMIR Mhealth Uhealth 2025;13:e53133
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