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<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article" dtd-version="1.3" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">GMR</journal-id><journal-title-group><journal-title>Global Medical Reviews</journal-title><abbrev-journal-title abbrev-type="publisher">GMR</abbrev-journal-title></journal-title-group><publisher><publisher-name>S.D. Asfendiyarov Kazakh National Medical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">e0003</article-id><article-categories><subj-group subj-group-type="heading"><subject>Evidence Map</subject></subj-group></article-categories><title-group><article-title>Multimodal and Generative AI-Enabled Clinical Decision Support in Medicine: A PRISMA 2020-Informed Evidence Map and Narrative Synthesis</article-title><alt-title alt-title-type="running-head">Multimodal and generative AI in clinical decision support</alt-title></title-group><contrib-group><contrib contrib-type="author"><string-name>B.N. Sadykov</string-name><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><string-name>T.M. Saliev</string-name><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><string-name>K.K. Toguzbaeva</string-name><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><string-name>G.S. Bismildina</string-name><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><string-name>A. Tolegenkyzy</string-name><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><string-name>D.M. Ospanbekova</string-name><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff id="aff1">S.D. Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan</aff><pub-date publication-format="electronic" date-type="pub"><day>27</day><month>07</month><year>2026</year></pub-date><volume>1</volume><issue>1</issue><elocation-id>e0003</elocation-id><permissions><copyright-statement>© Authors. Published by Global Medical Reviews under CC BY 4.0.</copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>This article is distributed under the Creative Commons Attribution 4.0 International License.</license-p></license></permissions><abstract><sec><title>Background</title><p>Multimodal and generative AI systems are increasingly proposed for clinical decision support, but the literature ranges from pragmatic trials to simulated consultations and benchmark-like evaluations.</p></sec><sec><title>Objective</title><p>To identify and synthesize empirical clinical and near-clinical evidence while keeping strict multimodal AI evidence separate from adjacent text-based generative AI clinical decision-support studies.</p></sec><sec><title>Methods</title><p>A structured, PRISMA 2020-informed evidence map and narrative synthesis covered clinician-facing studies published from 2018 to 9 July 2026.</p></sec><sec><title>Results</title><p>Seventeen empirical studies were included: 12 in the strict multimodal core and five in an expanded contextual set. Patient-important outcome evidence remained limited.</p></sec><sec><title>Conclusions</title><p>The evidence supports assistive, auditable, human-in-the-loop use for triage, documentation, decision preparation, second reading, and specialist workflow support. Autonomous deployment is not supported.</p></sec></abstract><kwd-group kwd-group-type="author"><kwd>multimodal artificial intelligence</kwd><kwd>vision-language models</kwd><kwd>generative AI</kwd><kwd>clinical decision support</kwd><kwd>human-in-the-loop</kwd><kwd>external validation</kwd><kwd>equity</kwd></kwd-group><self-uri content-type="text/html" xlink:href="https://glr.sciences.kz/article/multimodal-generative-ai-clinical-decision-support/html"/><self-uri content-type="application/pdf" xlink:href="https://glr.sciences.kz/downloads/GMR_2026_1_1_e0003_multimodal-generative-ai-clinical-decision-support.pdf"/><custom-meta-group><custom-meta><meta-name>peer-review-model</meta-name><meta-value>Single-blind external peer review</meta-value></custom-meta><custom-meta><meta-name>version</meta-name><meta-value>Version of Record</meta-value></custom-meta><custom-meta><meta-name>jats-validation-status</meta-name><meta-value>preliminary</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>Full text</title><p>HTML full text has not yet been deposited. See the version-of-record PDF.</p></sec></body></article>