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<p>Despite cardiovascular disease risk reduction with intensive lifestyle modification, durable healthy behavior change remains elusive. An evidence-based framework for optimizing artificial intelligence (AI) augmented pro-health behavior change interventions features AI, behavioral, and medical expert collaboration in (1) use-case development, (2) real-time risk-benefit oversight, (3) modeling bias mitigation, and (4) personalizing disease management. User safety perquisites include 1) autonomy, (2) data transparency, (3) explainable model trust-building, and (4) risk-reward neuromodulation avoidance.</p>

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Can AI help with the hardest thing: pro health behavior change

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月2日

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  • D. Douglas Miller

摘要

Despite cardiovascular disease risk reduction with intensive lifestyle modification, durable healthy behavior change remains elusive. An evidence-based framework for optimizing artificial intelligence (AI) augmented pro-health behavior change interventions features AI, behavioral, and medical expert collaboration in (1) use-case development, (2) real-time risk-benefit oversight, (3) modeling bias mitigation, and (4) personalizing disease management. User safety perquisites include 1) autonomy, (2) data transparency, (3) explainable model trust-building, and (4) risk-reward neuromodulation avoidance.