Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics
SMART-Pred offers noninvasive, cost-effective, and efficient AD prediction, demonstrating the transformative potential of AI in health care. While clinical validation is necessary to confirm the practical applicability of the identified key variables, the findings of this study contribute to the growing body of research on AI-assisted AD diagnosis and may lead to improved patient outcomes through early detection and intervention.
Authors
- Wenzheng Han (ORCID: https://orcid.org/0000-0003-0998-6729)
- Jeffrey G. Shaffer (ORCID: https://orcid.org/0000-0002-3941-3772)
- Sudesh Srivastav (ORCID: https://orcid.org/0000-0002-1225-5874)
- Samuel Kakraba (ORCID: https://orcid.org/0000-0002-6362-5126)
- Edmund Fosu Agyemang (ORCID: https://orcid.org/0000-0001-8124-4493)
Institutions
- Tulane University (US)
Publication Details
- Journal
- JMIR Aging
- Published
- 2025-11-05
- DOI
- https://doi.org/10.2196/70272
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94
Funders
- Tulane University
- Strong