e.g. mhealth
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Skip search results from other journals and go to results- 49 Journal of Medical Internet Research
- 13 JMIR Medical Education
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Artificial Intelligence (AI) chatbots have the potential to be used for a variety of medical tasks, including note taking [15] and personalized medicine [16]. Anonymized AI chatbots have been judged to provide better, more concise, empathetic answers to general health queries than verified physicians [17]. Chat GPT-3 is known to be accurate with common chief complaints [18] and GPT-4 recently outscored 99.98% of simulated human readers when diagnosing complex clinical cases [19].
JMIR Diabetes 2025;10:e63503
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Generative AI–Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial
DMHIs refer to a range of health information technologies (eg, websites, mobile apps, and chatbots) designed to intervene in health conditions by changing behaviors, cognitions, and emotional states [8]. Among these, chatbots stand out as artificial intelligence (AI)–driven tools capable of engaging in human-like conversations.
JMIR Form Res 2025;9:e71923
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Population-level interventions using digital health tools, such as SMS text messaging and chatbots, and coupled with a human component, are a promising approach for promoting equitable access to preventive care services. Despite disparities in access to digital technologies, cellphone ownership is now ubiquitous. Even in US households earning less than US $30,000 annually, 97% have a cellphone and 76% have a smartphone [12].
J Med Internet Res 2025;27:e74145
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Traditionally, rule-based chatbots, which use scripted responses to user queries to improve mental health, have been the predominant type of chatbot used by the general public [4] and researchers [5]. Recently, generative artificial intelligence–based chatbots have emerged. These chatbots use technological advances such as large language models (LLMs) to provide more personalized and human-like responses, which has further boosted the popularity of chatbots.
JMIR Form Res 2025;9:e65605
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By using advanced AI tools such as LLMs and chatbots, ERs and PA formulation is becoming increasingly scientific and personalized [21]. This not only has the potential to optimize exercise outcomes but may also enhance safety, ushering in a new era in chronic disease prevention and health management.
To our knowledge, this paper represents one of the first scoping reviews of the applications of LLMs in the fields of ERs and PA, with 2 primary objectives.
JMIR Med Inform 2025;13:e59309
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chatbotsChatbots and Conversational Agents
J Med Internet Res 2025;27:e67365
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chatbotsChatbots and Conversational Agents
JMIR Pediatr Parent 2025;8:e58752
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It is increasingly imperative that we as HCI researchers analyze the diverse ways in which such chatbots, which claim to aid mental health, are promoted, described, and used, particularly given their use by at-risk users who may not fully recognize their intended purpose. This work then investigated the relationship between design and care as manifested in today’s mental health–related chatbots.
J Med Internet Res 2025;27:e67114
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The extracted data were grouped into categories based on the type of digital technology used (ie, social media, mobile phone apps, health information systems, mobile SMS or SMS text messaging, chatbots, interactive voice response (IVR), and hotline.
J Med Internet Res 2025;27:e68352
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Our pilot study compares AI chatbot responses to potential patient questions, with the primary goal of comparing the utility of three chatbots by assessing their strengths and weaknesses. As suggested by Parker, recommending the usage of AI in place of existing patient education materials would require a larger, more robust investigation that compares AI to existing resources.
JMIR Dermatol 2025;8:e72540
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