发表机构
Fudan University; Hong Kong University of Science and Technology（复旦大学; 香港科技大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出生命算子框架，含感知、演化、生成等算子及桥接算子，可构建任务特定算子图，支持模块化科学修正，有望成为医疗超级人工智能的计算基础。
AI 中文摘要
医疗人工智能正从识别任务向临床对话和纵向预测拓展，但核心问题仍未解决：干预下患者状态会如何变化？统计模型学习未来观测值，机制模型描述特定过程，二者均未提供可表示患者状态、耦合尺度或修正失败假设的通用框架。我们提出生命算子（Life Operators）：具有任务边界的映射，定义了三类科学角色：感知算子（Perception operators）从多模态观测中推断任务相关的生物状态；演化算子（Evolution operators）在自然或干预条件动态下传播这些状态；生成算子（Generation operators）将其映射为可测量信号。每个角色可通过方程、统计模型、神经网络或混合模型实现。桥接算子（Bridge operators）连接具有不同变量、尺度和时间步长的组件。选定的算子与桥接形成任务特定的算子图（Operator Graphs），包含支撑声明主张所需的最小状态与机制集合。这种模块化结构使科学修正可定位：AI协同科学家可提议对状态、算子、桥接或图结构的修改，独立证据决定保留、限制或弃用哪些变体。长期来看，经验证的组件可积累成更广泛的人体多尺度模型，为医疗超级人工智能提供计算基础。
英文摘要
Medical AI is moving beyond recognition towards clinical dialogue and longitudinal prediction. Yet a central question remains: how would a patient's state change under intervention? Statistical models learn future observations, whereas mechanistic models describe selected processes. Neither provides a common framework for representing patient state, coupling scales or revising failed assumptions. We propose Life Operators: task-bounded mappings that define three scientific roles. Perception operators infer task-relevant biological states from multimodal observations, Evolution operators propagate these states under natural or intervention-conditioned dynamics, and Generation operators map them to measurable signals. Each role may be realised by equations, statistical models, neural networks or hybrids. Bridge operators connect components with different variables, scales and time steps. Selected operators and bridges form task-specific Operator Graphs containing the smallest set of states and mechanisms sufficient for a declared claim. This modular structure also makes scientific revision localisable. An AI co-scientist may propose changes to states, operators, bridges or graph structure, while independent evidence determines which variants are retained, restricted or retired. Over time, validated components could accumulate into broader multiscale models of the human body and provide a computational foundation for medical artificial superintelligence.
Comments14 pages, 3 figures
