人工智能在脊柱研究中的出现:一个更新的视角
Apratim Maity1, Ethan D L Brown1, Ryan A McCann1
1Department of Neurosurgery, Donald and Barbara Zucker Hofstra School of Medicine at Northwell, 300 Community Drive, Manhasset, NY 11030, USA.
Journal of clinical medicine
|January 28, 2026
概括
人工智能 (AI) 正在通过先进的成像分析和结果预测改变脊柱研究. 然而,一般化和临床准备方面的挑战阻碍了这些强大的AI工具的广泛采用.
科学领域:
- 脊柱研究和医疗人工智能 (AI).
背景情况:
- 人工智能已经从一个实验工具演变为一个多领域的框架,影响脊柱成像分析,手术决策和结果预测.
- 最近的AI进步使自动图像解释,风险分层,表型发现和脊柱护理数据集成成为可能.
研究的目的:
- 综合2019年后的AI在关键领域的脊柱研究中的进展.
- 通过临床准备的镜头来评估这些进展,重点关注上下文,验证和可解释性.
- 突出AI的潜力,并确定脊柱护理中临床整合的步骤.
主要方法:
- 在脊柱研究中对最近 (2019年以后) 的人工智能应用进行了审查和综合.
- 跨领域的分析,包括成像,预测建模,表型化和基于语言的框架.
- 基于临床背景,验证严格性和可解释性的评估.
主要成果:
- 人工智能在成像分析,预测建模和脊柱护理的表型化方面取得了重大进展.
- 尽管内部性能很高,但AI的通用性,解释性和临床准备性仍然有限.
- 挑战包括数据集异质性,可转移性和与临床工作流程的协调性.
结论:
- 人工智能对脊柱研究和临床实践具有变革性的潜力.
- 解决验证,概括性和解释性方面的挑战对于有效的AI集成至关重要.
- 负责任和有效的实施需要仔细考虑临床背景和严格的验证.
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