Keywords
Machine Learning
Robotics
Team Science
Prevention Research
Influential Leadership
Abstract
The future of AI, ML, and robotics in the field of healthcare, health promotion, and prevention science requires careful stewardship. Applying a framework comprised of team science, prevention research, and influential leadership can ease the burden on industry leaders. Building collaborative, cross-disciplinary teams allow for fresh and creative innovation. Charging these teams with the mission of engaging with new technologies to translate science into action to positively impact health outcomes. Sustaining these teams through supportive, influential leadership. Not surprisingly, AI, ML, and robotics play important roles in the successful implementation of each framework component.
References
Early Childhood Policy Group. (2024). Annual Sunshine Portal Progress Report, Fiscal Year 2023-2024. Retrieved from https://thesunshineportal.org/wp-content/uploads/2024/12/Annual-Sunshine-Portal-Progress-Report-Updated-December-2024.pdf
Boyd, R. C., Castro, F. G., Finigan-Carr, N., Okamoto, S. K., Barlow, A., Kim, B.-K. E., . . . Kenney, A. (2023). Strategic Directions in Preventive Intervention Research to Advance Health Equity. Prevention Science, 24(4), 577-596. doi:10.1007/s11121-022-01462-5. https://link.springer.com/article/10.1007/s11121-022-01462-5
Crowley, D. M., Dodge, K. A., Barnett, W. S., Corso, P., Duffy, S., Graham, P., . . . Plotnick, R. (2018). Standards of Evidence for Conducting and Reporting Economic Evaluations in Prevention Science. Prevention Science, 19(3), 366-390. doi:10.1007/s11121-017-0858-1. https://pmc.ncbi.nlm.nih.gov/articles/PMC5869868/
Dell, N. A., Salas-Wright, C. P., Vaughn, M. G., Maldonado-Molina, M. M., Oh, S., Bates, M., & Schwartz, S. J. (2024). A machine learning approach using migration-related cultural stress to classify depression and post-traumatic stress disorder among hurricane survivors. J Affect Disord, 347, 77-84. doi:10.1016/j.jad.2023.11.055. https://pubmed.ncbi.nlm.nih.gov/37992771/
Fu, R. J. C. (2025). The Future of AI, ML, and Robotics in Business and Beyond. AI, ML, & Robotics in Business, 1(1), 1-7. https://journals.flvc.org/aimlrb/article/view/138291
Hall, K. L., Vogel, A. L., & Cryole, R. T. (2019). Strategies for Team Science Success: Handbook of Evidence-Based Principles for Cross-Disciplinary Science and Practical Lessons Learned from Health Researchers: Springer.
Marti, E. (2023). No mas jefes ¡Por favor!: Secretos para ser Gerente Líder [No more bosses! Please! Secrets to being a Leader-Manager]: Pan House.
Mursion, Inc. (2025). Mursion Patents & Awards: Award-winning tech, unmatched expertise. Retrieved from https://www.mursion.com/patents.
Rea, M. (2022, Summer). Investigating the Ethics of AI. UF College of Health and Human Performance Newsletter. Retrieved from https://hhp.ufl.edu/articles/2022/performance-magazine-exploring-ai-heb.html
Society for Prevention Research (SPR). (2025). Prevention Science for Action: Leveraging Data Science & Technology to Enhance Research, Practice, & Policy. Retrieved from https://preventionresearch.org/wp-content/uploads/2024/09/SPR2025CallforPapers-Final.pdf
Vaillancourt, D. E., Barmpoutis, A., Wu, S. S., DeSimone, J. C., Schauder, M., Chen, R., . . . Group, A. S. (2025). Automated Imaging Differentiation for Parkinsonism. JAMA Neurol. doi:10.1001/jamaneurol.2025.0112. https://jamanetwork.com/journals/jamaneurology/fullarticle/2831631
Zayas, C., Maldonado-Molina, M., & Bian, J. (2016). Using machine learning methods to examine healthcare utilization patterns of elderly and middle-aged adults in the United States. Paper presented at the Society for Prevention Research, San Francisco, CA, USA. https://spr.confex.com/spr/spr2016/webprogram/Paper24659.html
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2025 Dr. Mildred M. Maldonado-Molina, Melissa M. Bates