人工智能和机器学习在脊柱MRI中的应用
Aric Lee1, Wilson Ong1, Andrew Makmur1,2
1Department of Diagnostic Imaging, National University Hospital, 5 Lower Kent Ridge Rd, Singapore 119074, Singapore.
Bioengineering (Basel, Switzerland)
|September 27, 2024
概括
人工智能 (AI) 和机器学习 (ML) 正在增强脊柱MRI诊断,改善图像采集,分析和患者护理. 未来的研究应该专注于基础模型和现实世界的临床实施.
科学领域:
- 放射学和医学成像学 医学成像学
- 人工智能在医学中的应用
- 机器学习应用 机器学习应用
背景情况:
- 诊断成像,特别是磁共振成像 (MRI),对于评估脊柱病理至关重要.
- 人工智能 (AI) 和机器学习 (ML) 的进步为脊柱MRI提供了新的应用.
研究的目的:
- 审查和检查AI和ML在脊柱MRI中的当前应用.
- 确定这一领域的关键研究主题,差距和未来方向.
主要方法:
- 在主要数据库 (PubMed,MEDLINE,Web of Science,ClinicalTrials.gov) 进行了系统的文献搜索,遵循PRISMA指南.
- 从1226个初始结果中,选出了50项研究,用于数据提取和主题分类.
- 研究被分为图像获取和处理,细分,诊断和治疗计划以及患者选择和预测.
主要成果:
- 人工智能显示出显著的潜力,可以改善脊柱MRI的各个方面,包括图像采集,处理,细分和诊断能力.
- 目前的研究强调了人工智能在诊断,治疗计划,患者选择和预后方面的作用.
- 主题分析揭示了脊柱MRI中AI应用和发展的关键领域.
结论:
- 人工智能和机器学习将通过提高临床工作流程的效率和准确性来彻底改变脊柱MRI.
- 未来的研究应该优先考虑基础模型,大语言模型和现实世界的临床验证,以应对可通用性和实施挑战.
- 合作努力至关重要,以最大限度地提高AI在脊柱MRI中的好处,以改善患者的治疗结果.
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