e.g. mhealth
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AI patient bots, also developed using GPT-4, were programmed to represent 40-year-old male patients with lung cancer with 1 of 3 emotional personas: depressed, anxious, and frustrated. In total, 30 patient bots (10 per persona) were created, with each provider bot engaging in 30 interactions. The patient bots’ responses were unique due to GPT-4’s stochastic generation processes, even with consistent prompts.
JMIR Nursing 2025;8:e63058
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Treating an anxious and fearful patient can create an environment of stress for the clinician and associated dental team [1].
Particularly when treating children with SHCN, extra time and tools are needed to provide comfortable dental care. Depending on the child’s diagnosis, some have hypersensitivity to external stimuli such as loud noises, aversion to specific tastes, and difficultly straying from usual daily routines [16].
JMIR Res Protoc 2023;12:e49956
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The preoccupation with thoughts about illness in health-anxious individuals is associated with a need to search for health information [40-42]. In a study by Baumgartner and Hartmann [32], the results indicated that online health information from trustworthy websites leads to increased worries among health-anxious individuals but not among non–health-anxious individuals.
J Med Internet Res 2020;22(3):e13118
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