Current Role at Stanford

Research Communications Librarian

Education & Certifications

  • PhD (Candidate), Dominican University, Information Studies
  • MLIS, University of Oklahoma, Library and Information Science
  • MATS, Bethel University, Theological Studies
  • BA, Oral Roberts University, Psychology

Contact

  • Work
    deller@stanford.edu
    Department: School of Medicine - Lane Medical Library Position: Research Communications Librarian

Additional Info

Links

All Publications

  • From Lesion to Decision: AI for ARIA Detection and Predictive Imaging in Alzheimer's Disease. Biomedicines Christodoulou, R. C., Papageorgiou, P. S., Sarquis, M. D., Rivera, L., Morales Gonzalez, C., Eller, D., Rivera, G., Petrou, V., Vamvouras, G., Vassiliou, E., Papageorgiou, S. G., Georgiou, M. F. 2025; 13 (11)

    Abstract

    Background: Alzheimer's disease (AD) remains the leading cause of dementia worldwide, with anti-amyloid monoclonal antibodies (MABs) marking a significant advance as the first disease-modifying therapies. Their use, however, is limited by amyloid-related imaging abnormalities (ARIA), which appear as vasogenic edema or effusion (ARIA-E) and hemosiderin-related changes (ARIA-H) on MRI. Variability in imaging protocols, subtle early findings, and the lack of standardized risk models challenge detection and management. Methods: This narrative review summarizes current artificial intelligence (AI) applications for ARIA detection and risk prediction. A comprehensive literature search across PubMed, Embase, and Scopus identified studies focusing on MRI-based AI analysis, lesion quantification, and predictive modeling. Results: The evidence is organized into six thematic domains: ARIA definitions, imaging challenges, foundations of AI in neuroimaging, detection tools, predictive frameworks, and future perspectives. Conclusions: AI offers promising avenues to standardize ARIA evaluation, improve lesion quantification, and enable individualized risk prediction. Progress will depend on multicenter datasets, shared frameworks, and prospective validation. Ultimately, AI-driven neuroimaging may transform how treatment-related complications are monitored in the era of anti-amyloid therapy.

    View details for DOI 10.3390/biomedicines13112739

    View details for PubMedID 41301832

    View details for PubMedCentralID PMC12650076

  • The impact of library visits on undergraduate student GPA: The vital role of the library as a contributor to student success JOURNAL OF ACADEMIC LIBRARIANSHIP Bloom, M., Eller, D., Hall, M., Lang, A., Sample, A. 2025; 51 (3)

    View details for DOI 10.1016/j.acalib.2025.103040

    View details for Web of Science ID 001448042700001

  • Shrunken Median Location Effect Estimates: An Application to Immuno-Oncology Journal of Probability and Statistics Holmes, T. H., Eller, D. W., Barnett, J., Maecker, H. T. 2025; 2025 (1): 6

    View details for DOI 10.1155/jpas/1856034

  • Bibliometrics and Pentecostal Scholarship A Review of Trends in Pneuma PNEUMA Eller, D. W., Isgrigg, D. D. 2023; 45 (1): 78-101

    View details for DOI 10.1163/15700747-bja10084

    View details for Web of Science ID 001021542500006

  • New Horizons for the Individual Research Consultation: Critical Hermeneutics and Habermas’ Goal of Intersubjective Agreement InterActions: UCLA Journal of Education and Information Studies Eller, D. W. 2023; 18 (1): 16

    View details for DOI 10.5070/D418159162

  • Transparency and the future of semantic searching in academic libraries Information Services and Use Eller, D. W. 2022; 42 (3-4)

    View details for DOI 10.3233/ISU-220175

https://orcid.org/0000-0002-8399-2759