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These results are consistent with the findings of Dias et al [54], suggesting that tailored educational resources improve technology acceptance in the context of wearable neurofeedback for students’ stress and anxiety management. Consequently, these findings could inform the development of ethical guidelines and policies governing AI deployment in PD care settings, providing actionable insights for policy makers and health care organizations.
J Med Internet Res 2025;27:e73710
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Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach
JMIR Cardio 2025;9:e59380
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