分析116款健康应用，发现超八成仍处AI应用初期。
The Impact of Foundational Models on Patient-Centric e-Health Systems
- 用大模型提取功能特征，按戈特纳模型分级评估
- 86.21%应用处于早期阶段，仅13.79%达高级整合
- 适合关注AI医疗落地进展的研究者与从业者
随着人工智能在医疗技术中日益深入，理解其在以患者为中心的应用中的成熟度，对评估其可信度、透明度及实际影响至关重要。本研究调查了116个以患者为中心的医疗应用中AI功能的整合情况。利用大语言模型（LLMs）提取关键功能特征，并依据戈特纳（Gartner）AI成熟度模型进行分类。结果显示，超过86.21%的应用仍处于早期阶段，仅有13.79%展现出高级别的AI整合。
原文摘要 · Abstract (English)
As Artificial Intelligence (AI) becomes increasingly embedded in healthcare technologies, understanding the maturity of AI in patient-centric applications is critical for evaluating its trustworthiness, transparency, and real-world impact. In this study, we investigate the integration and maturity of AI feature integration in 116 patient-centric healthcare applications. Using Large Language Models (LLMs), we extracted key functional features, which are then categorized into different stages of the Gartner AI maturity model. Our results show that over 86.21\% of applications remain at the early stages of AI integration, while only 13.79% demonstrate advanced AI integration.
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