用AI助手帮偏远地区快速设计低成本医院，让当地自己决定建筑方案。
MedBuild AI: An Agent-Based Hybrid Intelligence Framework for Reshaping Agency in Healthcare Infrastructure Planning through Generative Design for Medical Architecture
- 三类AI代理协作：问需求、转功能、出图纸，全程对话式交互。
- 仅需卫星网络即可使用，支持模块化、低技术、低成本医疗建筑生成。
- 强调社区参与，让弱势地区拥有设计话语权，重塑医疗基建公平性。
全球医疗基础设施差距依然严重，众多社区无法获得基本服务。传统规划方式缓慢且难以触及需求。尽管建筑师持续开展人道主义医院项目，但规模与紧迫性仍远不足够。本文提出MedBuild AI，一种融合大语言模型（LLMs）与确定性专家系统的混合智能框架，用于重构医疗建筑早期设计与概念规划阶段。作为基于网页的平台，它使具备卫星互联网接入的任何地区都能获得模块化、低技术、低成本的医疗建筑设计方案。系统由三个代理组成：首个代理通过对话收集本地健康信息；第二个代理基于规则计算将输入转化为建筑功能方案；第三个代理生成布局与3D模型。通过在设计中嵌入计算协商机制，MedBuild AI推动一种互惠、包容与公平的医疗规划方式，赋予社区自主权，重新定义全球医疗建筑中的主体性。
原文摘要 · Abstract (English)
Globally, disparities in healthcare infrastructure remain stark, leaving countless communities without access to even basic services. Traditional infrastructure planning is often slow and inaccessible, and although many architects are actively delivering humanitarian and aid-driven hospital projects worldwide, these vital efforts still fall far short of the sheer scale and urgency of demand. This paper introduces MedBuild AI, a hybrid-intelligence framework that integrates large language models (LLMs) with deterministic expert systems to rebalance the early design and conceptual planning stages. As a web-based platform, it enables any region with satellite internet access to obtain guidance on modular, low-tech, low-cost medical building designs. The system operates through three agents: the first gathers local health intelligence via conversational interaction; the second translates this input into an architectural functional program through rule-based computation; and the third generates layouts and 3D models. By embedding computational negotiation into the design process, MedBuild AI fosters a reciprocal, inclusive, and equitable approach to healthcare planning, empowering communities and redefining agency in global healthcare architecture.
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