人工智能在下垂体疾病中的应用
1Department of Neurosurgery, Huashan Hospital, Shanghai, Medical College, Fudan University, Shanghai, National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, Neurosurgical Institute of Fudan University, Shanghai, China.
Endocrinology and metabolism clinics of North America
|October 23, 2025
概括
人工智能在脑下垂体疾病研究中表现有前途,用于诊断和治疗预测. 在广泛应用人工智能和确保患者在临床实践中受益方面仍然存在挑战.
科学领域:
- 内分泌学 在内分泌学.
- 医疗信息学 医疗信息学
- 神经外科 神经外科
背景情况:
- 人工智能 (AI) 显示出在推进下垂体疾病临床研究方面的巨大潜力.
- 人工智能应用包括差异诊断,瘤分类,入侵评估和手术结果预测.
研究的目的:
- 审查人工智能在 pituitary疾病研究中的当前应用.
- 确定阻碍人工智能工具用于 pituitary 疾病的临床翻译的挑战.
- 探索基础模型在开发强大的AI解决方案中的作用.
主要方法:
- 关于人工智能在 pituitary 疾病中的应用的综合文献综述.
- 分析AI在诊断,预后和治疗预测中的作用.
- 对临床实施障碍的评估和未来的方向.
主要成果:
- 人工智能有助于差异诊断,瘤亚型预测,入侵评估和手术结果预测.
- 人工智能模型可以预测功能性垂体腺瘤的药物反应.
- 关键的挑战包括确保AI的通用性,临床适用性和可证明的患者益处.
结论:
- 人工智能为改善下垂体疾病管理提供了巨大的希望.
- 克服普遍性和临床整合方面的挑战对于现实世界的影响至关重要.
- 基础模型可以为可靠的AI部署提供可适应的解决方案.
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