人工智能辅助的超声波成像在肝胆外科手术中:我们现在在哪里?
Mustafa Bektaş1, Catherine M Chia2, George L Burchell3
1Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands. M.Bektas@amsterdamumc.nl.
Surgical endoscopy
|August 19, 2024
概括
人工智能 (AI) 模型在肝胆外科手术中表现有前途,用于预测瘤复发和使用超声波区分组织. 需要进一步的前性研究来确认这些AI进步的外部有效性和一致性.
科学领域:
- 医疗成像医学成像
- 手术技术 手术技术
- 人工智能的人工智能
背景情况:
- 人工智能模型越来越多地用于医学成像和外科手术.
- 人工智能在超声波中用于肝胆道 (HPB) 手术的应用缺乏全面的审查.
- 本综述讨论了人工智能在HPB超声波中的当前状态和进展.
研究的目的:
- 在HPB手术中应用到超声波的AI模型的概述.
- 评估这些人工智能模型的进步,验证和预测准确性.
- 识别用于HPB手术应用的AI驱动超声波的趋势.
主要方法:
- 在PubMed,EMBASE,Cochrane和科学网络的系统文献搜索.
- 纳入标准:在HPB手术患者的超声波上应用AI的研究.
- 使用Probast偏差风险工具评估的方法质量.
主要成果:
- 在HPB手术中的AI模型主要预测瘤复发,区分瘤组织,并通过超声波识别病变.
- 通常,放射学与卷积神经网络相结合.
- 报告的曲线下的面积 (AUC) 值达到0.98.
结论:
- 基于超声波的AI模型在HPB手术中对早期瘤复发预测和组织分化具有很高的准确性.
- 这些人工智能模型在HPB手术期间和之后提供了改善诊断能力的潜力.
- 未来研究对于验证当前发现的一致性和外部适用性至关重要.
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