Multimodal AI in Healthcare: A Paradigm Shift in Health Intelligence
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI has become increasingly embedded in medical practice over the past decade, enhancing care capabilities from personalized health libraries and patient education to disease screening, diagnostics, and treatment planning.
“Artificial intelligence (AI) has become increasingly embedded in medical practice over the past decade, enhancing care capabilities from the development of personalized health libraries and innovative patient education strategies to disease screening, diagnostics, and treatment planning [1-4].”
From Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice (2026) · cites this paper as [4]
Cited by
Sorted by citations
White, B. M., Aitken, G. L., Zink, J. A., Kheirkhah Rahimabad, P., Kumsa, F. A., Hashtarkhani, S., Rashid, R., Kheirinejad, S., Girdwood, T., Brett, C. L., et al. (2026) · JMIR Cancer · doi:10.2196/82336 · Cited by 2 · see citing works
“Artificial intelligence (AI) has become increasingly embedded in medical practice over the past decade, enhancing care capabilities from the development of personalized health libraries and innovative patient education strategies to disease screening, diagnostics, and treatment planning [1-4].”
Self-citation
- Authors
- Shaban‐Nejad, A., Michalowski, M., & Bianco, S.
- Affiliations
- Oak Ridge National Laboratory (US)
- University of Minnesota (US)
- IBM Research - Almaden (US)
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2023
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W4310266618
- Cited by
- 7
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 3
- FWCI
- 0.79
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Studies in computational intelligence (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- multimodal AI, health care, biomedicine, medical image analysis, multimodal fusion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review