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Skip search results from other journals and go to results- 158 Journal of Medical Internet Research
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Reference 30: From local explanations to global understanding with explainable AI for trees chasm from model performance to clinical impact: the need to improve implementation and evaluation of AIai
JMIR Med Inform 2025;13:e60442
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Each AI condition consisted of 100 trials with 76 trials containing correctly filled medications and 24 trials containing misfilled medications. For the correctly filled medications, the AI accurately recommended accepting (AI Accept) in 60 trials and erroneously recommended rejecting (AI Reject) in 16 trials. For the 24 trials containing misfilled medications, the AI accurately recommended AI Reject for 22 trials and erroneously recommended AI Accept for 2 trials.
JMIR Med Inform 2025;13:e64902
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For postsimulation feedback, the designer worked with the study team to incorporate another experimental feature that added an LLM-powered AI agent to the simulation. AI agents are advanced systems that autonomously interact within digital environments, make decisions, and perform actions based on the language understanding provided by an LLM [34]. Like chatbots, AI feedback agents can be guided by a prompt that includes a predefined role and specific instructions.
JMIR Form Res 2025;9:e65670
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More importantly, such platforms, particularly with the incorporation of artificial intelligence (AI) and machine learning, can enable precision prediction of health outcomes [23,24] as well as rapid responses to help monitor, mitigate, and manage existing and emerging health crises [6,25].
JMIR Form Res 2025;9:e53339
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Reference 64: Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: a mixed-methodsai
JMIR Hum Factors 2025;12:e57583
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Reference 9: Ableism, technoableism, and future AIai
JMIR Hum Factors 2025;12:e65207
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Despite these developments in secondary synthesis, the application of AI and software engineering in tertiary synthesis is still in its early stages, with no dedicated software currently available. TU is at the forefront of this field, pioneering the integration of AI and software engineering with human oversight to ensure accuracy and minimize technology-induced errors.
JMIR Res Protoc 2025;14:e67248
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