01678nas a2200289   4500000000100000008004100001260002300042653002800065653002200093653001600115653002700131653002500158653002100183653001100204653002500215653003300240653002100273653003200294653002400326100001500350700001600365245010100381856008700482300000900569520078500578022002501363       2024                            d  bInforma UK Limited10aArtificial Intelligence10aBehavioral change10aAI chatbots10acommunication theories10aHealth communication10aHealth marketing10aImpact10aImpact communication10aIntegrated health strategies10amachine learning10anatural language processing10apredictive analysis1 aWeingott S1 aParkinson J00aThe application of artificial intelligence in health communication development: A scoping review  uhttps://www.tandfonline.com/doi/epdf/10.1080/07359683.2024.2422206?needAccess=true  a1-433 a<p>This scoping review explores the integration of Artificial Intelligence (AI) with communication, behavioral, and social theories to enhance health behavior interventions. A systematic search of articles published through February 2024, following PRISMA guidelines, identified 28 relevant studies from 13,723 screened. These studies, conducted across various countries, addressed health issues such as smoking cessation, musculoskeletal injuries, diabetes, chronic diseases and mental health using AI-driven tools like chatbots and apps. Despite AI’s potential, a gap exists in aligning technical advancements with theoretical frameworks. The proposed AI Impact Communications Model (AI-ICM) aims to bridge this gap, offering a road map for future research and practice.</p>
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