Cited by 7Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning ApplicationsTechnology and Human Factors in Education and Health

Multimodal AI in Healthcare: A Paradigm Shift in Health Intelligence

Arash Shaban‐Nejad, Martin Michalowski, Simone Bianco·2023·Studies in Computational Intelligence

Integrity signals

Registry

Crossref · 10.1007/978-3-031-14771-5

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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].”

Cited by

Sorted by citations

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
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.

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