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Updated: May 27, 2025

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人工智能在代谢障碍的管理:一个全面的审查
Aamir Anwar1, Simran Rana1, Priya Pathak2
1Department of Pharmacy, Amity University, Lucknow campus, 226010, Lucknow, Uttar Pradesh, India.
Journal of endocrinological investigation
|February 19, 2025
概括
人工智能 (AI) 在管理代谢障碍方面取得了重大进展,包括早期诊断和个性化治疗. 这项技术有望通过机器学习和深度学习应用来彻底改变患者护理.
科学领域:
- 内分泌学和新陈代谢学
- 医疗信息学 医疗信息学
背景情况:
- 糖尿病,肥胖,MAFLD和甲状腺功能障碍等代谢障碍对全球健康构成重大挑战.
- 有效的管理需要早期诊断,个性化治疗和持续监测.
研究的目的:
- 审查人工智能 (AI) 在代谢障碍的诊断和管理中的应用.
- 探索各种人工智能技术及其在代谢疾病管理中的具体作用.
- 讨论在临床实践中实施人工智能的挑战和伦理考虑.
主要方法:
- 对人工智能在代谢障碍中的应用进行文献综述.
- 分析机器学习 (ML),深度学习 (DL),自然语言处理 (NLP),计算机视觉和强化学习技术.
- 检查基于AI的诊断和管理工具.
主要成果:
- 人工智能有助于早期诊断,个性化治疗计划,风险评估和对代谢障碍的生物标志物发现.
- 特定的人工智能工具,如IDx,Guardian Connect系统和DreaMed显示出糖尿病管理的潜力.
- 挑战包括数据隐私,模型解释性和偏差缓解.
结论:
- 人工智能有可能通过增强的诊断和个性化治疗来彻底改变代谢障碍的管理.
- 将AI整合到临床实践中需要临床医生和AI专家之间的合作.
- 长期验证研究对于在代谢障碍治疗中广泛采用人工智能至关重要.
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