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医生应该建立自己的机器学习模型

Yosra Magdi Mekki^1,2,3

¹College of Medicine, Qatar University, QU Health, Qatar University, PO Box 2713, Doha, Qatar.

Patterns (New York, N.Y.)

|March 15, 2024

概括

医生应该使用用户友好的框架创建定制的机器学习模型. 这种方法使医生能够使用定制的AI工具,而不需要深度机器学习专业知识.

科学领域:

医疗信息学医疗信息学
医疗保健中的人工智能
临床决策支持系统临床决策支持系统

背景情况:

目前的机器学习 (ML) 开发需要专门的专业知识,限制了医生参与.
医生拥有独特的临床见解,对于开发相关和有效的ML模型至关重要.
在临床实践中,对个性化人工智能工具的需求越来越大.

研究的目的:

提出一个新的框架,使医生能够开发自己的机器学习模型.
在ML工具开发中,将重点转向以医生为中心的设计.
为了减少创建定制临床ML应用程序所需的技术专业知识.

主要方法:

概念化一种以医生为中心的方法来创建ML模型.
设计用户友好的框架,抽象复杂的ML过程.
专注于用于模型定制的直观接口和指导工作流程.

主要成果:

一个拟议的方法论,以赋予医生在ML模型开发中的权力.
"聚光灯"的概念是优先考虑临床医生的用户体验的框架.
演示医生如何在最少的先前ML知识的情况下构建定制模型.

结论:

医生可以通过直观的框架授权开发定制的机器学习模型.
这种方法使医学中的ML发展民主化,促进创新.
用户友好的工具对于将ML有效地整合到临床实践中至关重要.

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