From algorithms to clinical execution: A cross-validated knowledge atlas of AI-enabled precision care (2015-2025).

ABSTRACT:

Objective

Artificial intelligence (AI)-driven precision medicine is moving beyond standalone prediction toward individualized treatment strategies built on multimodal evidence. Yet the field's rapid, interdisciplinary growth has produced a fragmented knowledge structure, while most bibliometric syntheses remain single-database and therefore vulnerable to coverage bias and unstable thematic inference. A cross-validated, implementation-oriented knowledge map is needed to clarify how AI innovations are converging on tailored treatment pathways.

Methods

We established a dual-database cross-validation framework using the Web of Science Core Collection (WoSCC) and Scopus (2015-2025). After parallel screening, preprocessing, and standardized metadata/keyword normalization, 810 WoSC

SUBMITTER: Zhang B 

PROVIDER: S-EPMC13309639 | biostudies-literature | 2026 Jan-Dec

REPOSITORIES: biostudies-literature