e.g. mhealth
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Skip search results from other journals and go to results- 188 Journal of Medical Internet Research
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AI-generated data has shown precise detection of osteoarthritis, though technical support is still necessary for some specific questions [14]. Data regarding urothelial carcinoma from AI are currently limited, with reliable information mainly focused on the epidemiology and risk factors [15]. In breast cancer oncology treatment, AI offers restricted insights into particular clinical scenarios and postoperative conditions [16].
JMIR Med Inform 2025;13:e68980
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Numerous artificial intelligence (AI)–based chatbots have been developed to provide cancer screening education, and several studies have demonstrated that users readily embrace these tools, which can serve as an additional source of information for individuals who may struggle to obtain or understand health-related guidance [13].
JMIR Cancer 2025;11:e70251
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Their methodology involved prompting Chat GPT to create summaries and then having physicians assess the quality, accuracy, and bias of these summaries, where bias refers to the phenomenon where artificial intelligence (AI) systems are trained on data that lack sufficient reflection of the diversity within the population. The results showed that Chat GPT-produced summaries were 70% shorter than the original abstracts but maintained an accuracy of 92.5%.
JMIR Med Inform 2025;13:e66476
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A total of 6 AI scribes were selected for evaluation based on their market availability and compliance with data privacy and security regulations in Ontario (ie, PHIPA). To highlight the general capabilities of AI scribes, specific product names are not used; however, when referring to a particular AI scribe product, they are labeled as AI scribes #1 through #6. Table 1 provides an overview of the health care sectors and users for each of the AI scribes.
JMIR Hum Factors 2025;12:e71434
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In addition, the AI tools’ inability to access paywalled literature introduces a potential bias toward open-access sources, which could affect the comprehensiveness and balance of the AI-generated output.
Overall, expert readers were impressed by the results but noted a lack of scientific depth and nuance—the elements that distinguish strong review articles from mediocre ones.
J Med Internet Res 2025;27:e75666
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While there is no consensus on what AGI is, one may view an AGI system as a form of artificial intelligence (AI) with a general scope with the ability to perform well across various goals and contexts [17]. Finally, Yuan et al [82] provided a broad review of the applications and implications of LLMs in medicine, especially MLLMs, and discussed the emerging development of LLM-powered autonomous agents.
J Med Internet Res 2025;27:e71916
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Reference 6: Designing an AI health coach and studying its utility in promoting regular aerobic exerciseai
JMIR Form Res 2025;9:e73807
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Machine learning, as a subset of artificial intelligence (AI) techniques, analyzes large datasets to identify patterns and make predictions [154]. These methods are transformative in gender studies, uncovering patterns in gender-related data and deepening the understanding of social inequalities and biases [155]. These methods have been successfully applied to areas such as forecasting gender-based violence, further demonstrating their relevance in social sciences [156].
JMIR Res Protoc 2025;14:e66396
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The literature describes a further wide range of problems and barriers in the context of AI-based CDSS [10-12]. These relate to AI or CDSS and a combination of both, AI-based CDSS. While some of the problems relate to technical integration and operational use [10,11], others relate to the legal and ethical framework [12].
JMIR Med Inform 2025;13:e69688
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