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Skip search results from other journals and go to results- 175 Journal of Medical Internet Research
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Given both the promise and potential perils of generative AI, this study had two main objectives: (1) to provide an initial demonstration of the technical guardrail success for a DMHI using generative AI and (2) to provide an initial demonstration of maintaining key aspects of the user relationship with a DMHI that uses generative AI.
J Med Internet Res 2025;27:e67365
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about their mental well-being
Teach young adults self-care and peer support strategies in managing mental health challenges
Offer young adults direct access to additional mental health resources and support
The digital mental health app should be a guide to young adults’ mental well-being
Provide safe ways for young adults to interact with others for mutual support and learning
Facilitate the sharing of experiences to collectively address mental health needs
Cocreate an iterative, empathetic conversational AI
JMIR Form Res 2025;9:e71563
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Today’s artificial intelligence (AI) chatbots can generally be grouped into 3 categories: AI assistants, AI companions, and AI character platforms. AI assistants are systems that help users with common everyday tasks in both their professional and private lives. AI companions are systems that let users interact with one central chatbot, which is customized over time, and are meant for leisurely or personal conversations.
JMIR Ment Health 2025;12:e69709
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Then it gave dieting tips(https://www.wsj.com/articles/eating-disorder-chatbot-ai-2aecb179#comments_sector Reference 31: Ethical challenges in AI approaches to eating disordersai
J Med Internet Res 2025;27:e70874
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Assessing ChatGPT’s Capability as a New Age Standardized Patient: Qualitative Study
Suarez et.al [16] gathered dental student’s feedback after interacting with an AI chatbot. The majority found the experience valuable, especially those who made a correct diagnosis. This underscores the potential of integrating AI into health sciences training [16].
Weidener and Fischer [17] emphasized the growing consensus on incorporating AI into medical education. Their study indicated the importance of both practical and technological skills for leveraging AI in medicine [17].
JMIR Med Educ 2025;11:e63353
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AI: artificial intelligence; PRISMA-Sc R: Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews; Wo S: Web of Science.
The scoping review section of this study follows the PRISMA-Sc R (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines and reports the search strategy used for literature selection [30].
J Med Internet Res 2025;27:e71560
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Over the past decade, there has been a significant surge of interest in the application of artificial intelligence (AI), particularly large language models (LLMs), within medical contexts.
J Med Internet Res 2025;27:e69910
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Many blunt this enthusiasm with caution, as the field struggles to genuinely address AI ethics, accountability, privacy, and governance [2].
Along with the hope (and hype) of AI within health care, the public is swiftly taking AI into their own hands. Consumers are at the forefront in this era of AI. A survey conducted in January 2025 by Imagining the Digital Future Center found that 52% of US adults used Chat GPT, Gemini, Co Pilot, or other LLMs.
J Particip Med 2025;17:e75794
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