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在太空任务中优化自主人工智能诊断用于神经眼睛健康

Rahul Kumar¹, Ethan Waisberg², Joshua Ong³

¹Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, FL, United States.

Life sciences in space research

|January 26, 2025

概括

人工智能可以帮助宇航员在长期任务期间监测太空飞行相关的神经眼综合征 (SANS). 适应像Grok这样的AI平台可以提供实时诊断,改善宇航员健康和任务成功.

科学领域:

太空医学太空医学
医疗保健中的人工智能
眼科医生眼科眼科

背景情况:

太空飞行相关的神经眼综合征 (SANS) 在长期太空任务期间对宇航员视力构成重大风险.
目前的SANS监测依赖于飞行前和飞行后的检查,缺乏飞行中的诊断能力.
对于宇航员的自主实时健康监测工具有着极大的需求.

研究的目的:

探索AI的潜力,特别是xAI的Grok平台,作为SANS的飞行诊断工具.
为了研究适应Grok的高分辨率成像用于早期SANS指示器检测.
提出在太空中自主SANS管理的途径.

主要方法:

格罗克人工智能平台的概念适应用于基于太空的健康监测.
识别通过高分辨率成像检测到的潜在的SANS指标 (例如,视神经,球形态变化).
强调需要对太空飞行条件进行算法和硬件修改.

主要成果:

格罗克的成像能力显示了检测早期SANS指标的潜力.
适应需要解决微重力引起的生理变化.
通过先进的AI诊断,自主SANS管理是可行的.

结论:

像Grok这样的AI平台可以重新用于关键的太空健康监测.
实时SANS诊断对于包括火星在内的长期任务上的宇航员安全至关重要.
推进人工智能诊断支持孤立环境中的自主健康管理.

关键词:

自动化评估自动化评估健康诊断诊断卫生诊断图像分析图像分析机器学习是机器学习.预测建模的预测建模.实时监控实时监控

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