Artificial intelligence-augmented interventions for pro-health behavior change require purposeful collaboration among behavioral, medical, and AI experts to safely mitigate risks and promote durable healthy habits.
Provides a conceptual framework for safely and effectively integrating AI into cardiovascular lifestyle modification and behavior change interventions.
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.
D. Douglas Miller (Mon,) conducted a review in Cardiovascular disease prevention and health behavior change. Artificial intelligence (AI) augmented interventions was evaluated. Artificial intelligence-augmented interventions for pro-health behavior change require purposeful collaboration among behavioral, medical, and AI experts to safely mitigate risks and promote durable healthy habits.