TY  - JOUR
TI  - Multimodal and Generative AI-Enabled Clinical Decision Support in Medicine: A PRISMA 2020-Informed Evidence Map and Narrative Synthesis
AU  - B.N. Sadykov
AU  - T.M. Saliev
AU  - K.K. Toguzbaeva
AU  - G.S. Bismildina
AU  - A. Tolegenkyzy
AU  - D.M. Ospanbekova
JO  - Global Medical Reviews
PY  - 2026
DA  - 2026-07-27
VL  - 1
IS  - 1
SP  - e0003
KW  - multimodal artificial intelligence
KW  - vision-language models
KW  - generative AI
KW  - clinical decision support
KW  - human-in-the-loop
KW  - external validation
KW  - equity
AB  - Background: 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. Objective: 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. Methods: A structured, PRISMA 2020-informed evidence map and narrative synthesis covered clinician-facing studies published from 2018 to 9 July 2026. Results: Seventeen empirical studies were included: 12 in the strict multimodal core and five in an expanded contextual set. Patient-important outcome evidence remained limited. Conclusions: 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.
UR  - https://glr.sciences.kz/article/multimodal-generative-ai-clinical-decision-support
L2  - https://glr.sciences.kz/downloads/GMR_2026_1_1_e0003_multimodal-generative-ai-clinical-decision-support.pdf
ER  -