人工智能的临床应用在瘤学的超声波成像中
Masaaki Komatsu1,2, Naoki Teraya1,2,3, Takashi Natsume2,4
1Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
JMA journal
|February 10, 2025
概括
人工智能 (AI) 增强了用于瘤学的超声波 (US),改善了癌症检测和诊断. 诸如声影和人工智能可解释性等挑战需要进一步的研究,以便在更广泛的临床采用.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 在瘤学瘤学.
背景情况:
- 超声波 (美国) 影像是瘤学的关键工具,因其非侵入性和实时能力而受到重视.
- 诊断的准确性可能受到手动扫描技能和图像降低的声影限制.
- 人工智能 (AI) 提供了潜在的解决方案,以提高美国在癌症查和诊断中的成像能力.
研究的目的:
- 审查人工智能的最新进展,用于美国瘤成像.
- 探索人工智能在乳腺癌检测,病变分化和转移预测方面的应用.
- 讨论AI在美国瘤学中的临床整合和挑战.
主要方法:
- 审查当前的AI研究和开发在美国瘤学.
- 对人工智能应用的分析,特别是对于乳腺癌.
- 检查AI-US设备的临床实施和监管状况.
主要成果:
- 乳腺癌研究表明,人工智能显著关注瘤检测,良性与恶性差异化以及淋巴结转移的预测.
- 人工智能模型通常使用美国放射学学院的医学成像报告和数据系统进行评估.
- 在全球范围内,批准的配备人工智能的美国医疗设备数量仍然有限.
结论:
- 人工智能在改善美国癌症成像,特别是乳腺癌的成像方面表现有前途.
- 临床采用面临障碍,包括领域转移,AI可解释性和声影管理.
- 图像质量控制,人工智能可解释性和声影预处理方面的进一步进展对于广泛的临床使用至关重要.
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