Medical artificial intelligence:from technical performance to clinical utility
CHENG Wei-bin
LI Guan-ming
Abstract：Medical artificial intelligence(AI),as a transformative technology,holds the potential to significantly improve patient outcomes while reducing healthcare costs.Despite numerous breakthroughs in research,only a limited number of AI products have been validated for clinical application.This article aims to systematically review the critical gap in translating medical AI from technical performance to clinical utility,analyze the primary barriers to such transla-tion,and identify four core conditions essential for successful clinical implementation:precision medicine orientation,sci-entific reproducibility,reliable data and trustworthy algorithms,and causal inference capability.Based on these condi-tions,we further propose specific actionable strategies to facilitate the deep clinical translation of medical AI algorithms,ultimately enhancing the quality and efficiency of patient care.
Keywords：medical artificial intelligenceclinical translationprecision medicinereproducibilitycausal infer-ence
Publication Date：2025-11-15
Online Publishing Date：2026-01-06(First online date of this platform, not the publication date of the document)
Pages：5( 1601-1605 )