肝病学人工智能的挑战和未来前景:打破更好的护理障碍
Victoria E Kusztos1, Douglas A Simonetto2
1Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Journal of clinical and experimental hepatology
|June 6, 2025
概括
人工智能 (AI) 提供了改善肝病护理的新途径. 解决人工智能实施中的挑战对于其成功融入临床实践至关重要.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 为推进肝病学实践提供了重大机会.
- 人工智能应用包括预测建模和个性化临床决策支持.
- 人工智能融入临床环境面临着不断变化的挑战.
研究的目的:
- 审查阻碍人工智能在肝病学中的采用技术和利益相关者的障碍.
- 讨论未解决的人工智能实施挑战的潜在负面影响.
- 提出应对这些挑战的策略,并概述未来的研究需求.
主要方法:
- 关于人工智能在肝病学中的应用的文献综述.
- 对人工智能实施的技术和利益相关者相关障碍的分析.
- 讨论成功的AI整合和验证策略.
主要成果:
- 确定了关键的技术障碍 (例如数据质量,可解释性) 和利益相关者的障碍 (例如信任,培训).
- 突出了未经检查的AI实施的潜在风险,包括诊断错误和工作流程中断.
- 建议的缓解策略侧重于强有力的验证,道德准则和跨学科合作.
结论:
- 人工智能有可能改变肝病学,但成功实施需要解决重大挑战.
- 积极的战略和前性研究对于确保人工智能在肝病管理中安全有效地使用至关重要.
- 人工智能的未来整合将重新定义患者和临床医生的肝病治疗中的角色.
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