Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A

Sunny Jung Kim1,2, Viktor Clark3, Jeff T Hancock4

  • 1Department of Social and Behavioral Sciences, School of Public Health, Virginia Commonwealth University, 830 East Main Street, Richmond, VA 23219, USA.

Abstract

Insights

Artificial Intelligence-Mediated Communication (AIMC) interventions show promise for improving health behaviors in cancer prevention and substance use recovery. Further research is needed to address ethical considerations and ensure equitable access.

Area of Science:

  • Digital Health
  • Behavioral Science
  • Public Health

Background:

  • Artificial Intelligence-Mediated Communication (AIMC) offers novel approaches to behavioral interventions.
  • Existing research on AIMC in cancer prevention/control and substance use requires systematic evaluation.

Approach:

  • A systematic review of eight databases (2017-2022) was conducted using the PICOS framework.
  • Seven studies involving 2768 participants were synthesized, assessing retention and engagement.
  • Quality was assessed using the SIGN Methodology Checklist 2.

Key Points:

  • Five of the seven studies reported significant improvements in areas such as substance use recovery, physical activity, and dietary habits.
  • The reviewed interventions primarily targeted adult populations, with 67.6% female participants.
  • Mean participant age was 42.73 years.

Conclusions:

  • AIMC interventions demonstrate potential for enhancing health behaviors in cancer prevention and substance use domains.
  • Further investigation into privacy, bias, safety, chatbot functionalities, and underserved populations is crucial.
  • Collaboration between technologists, healthcare providers, and researchers, supported by policymakers, is essential for responsible integration and equitable access.

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