Evidence Map · e0003
Multimodal and Generative AI-Enabled Clinical Decision Support in Medicine: A PRISMA 2020-Informed Evidence Map and Narrative Synthesis
B.N. Sadykov, T.M. Saliev, K.K. Toguzbaeva, G.S. Bismildina, A. Tolegenkyzy, D.M. Ospanbekova. Multimodal and Generative AI-Enabled Clinical Decision Support in Medicine: A PRISMA 2020-Informed Evidence Map and Narrative Synthesis. Global Medical Reviews. 2026;1(1):e0003.
Abstract
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.