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ABSTRACT: Background
Artificial intelligence (AI) is increasingly used in digital health, particularly through large language models (LLMs), to support patient engagement and behavior change. One novel application is the delivery of motivational interviewing (MI), an evidence-based, patient-centered counseling technique designed to enhance motivation and resolve ambivalence around health behaviors. AI tools, including chatbots, mobile apps, and web-based agents, are being developed to simulate MI techniques at scale. While these innovations are promising, important questions remain about how faithfully AI systems can replicate MI principles or achieve meaningful behavioral impact.Objective
This scoping review aimed to summarize existing empirical studies evaluating AI-driven systems
SUBMITTER: Karve Z
PROVIDER: S-EPMC12485255 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature