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机器学习和内部医学中的深度学习:解密概念

L Ramos-Ruperto¹, J Mora-Delgado², A Rodríguez-González³

¹Grupo de Trabajo Medicina Digital de la SEMI, Spain; Servicio de Medicina Interna, Hospital Universitario La Paz, Madrid, Spain.

Revista clinica espanola

|December 22, 2025

概括

机器学习 (ML) 是一种人工智能形式,为医疗决策提供了强大的工具. 本指南向内科医生介绍ML在诊断,预后和患者管理中的应用.

科学领域:

人工智能在医学中的应用
临床数据分析临床数据分析
医疗决策支持医疗决策支持

背景情况:

机器学习 (ML) 正在革新临床实践.
机器学习工具分析大型数据集,以寻找模式和做出预测.
这对于现代医学决策至关重要.

研究的目的:

为内科医生提供对ML概念的可访问的介绍.
突出 ML 在诊断和预后等临床任务中的应用.
探索先进的ML技术和伦理考虑.

主要方法:

解释监督,无监督和强化学习.
强调数据质量在医学ML中的关键作用.
概述在医疗保健中开发ML项目的系统过程.

主要成果:

ML提高了诊断准确性和治疗个性化.
它有助于优化医疗保健资源分配.
讨论了神经网络和可解释性等先进的方法.

结论:

整合ML工具可以显著改善临床结果.
在医学中使用ML时,一种批判性和道德的方法是必不可少的.
ML使临床医生能够提高患者护理和运营效率.

关键词:

人工智能的人工智能是人工智能.人工智能的人工智能机器学习是机器学习.

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