关于心血管成像中的人工智能NHLBI研讨会的记录:翻译为患者护理
Damini Dey1, Rima Arnaout2, Sameer Antani3
1Cedars-Sinai Medical Center, Los Angeles, California, USA.
JACC. Cardiovascular imaging
|July 22, 2023
概括
尽管有研究,心血管成像中的人工智能 (AI) 面临实施障碍. 国家心脏,肺和血液研究所的一次研讨会确定了在这个领域推进AI翻译的关键挑战和机会.
科学领域:
- 心血管成像 - 心血管成像
- 医疗人工智能 医疗人工智能
- 临床翻译 临床翻译
背景情况:
- 人工智能 (AI) 显示出革命医疗领域的巨大潜力.
- 人工智能在心血管成像中的临床应用仍然有限,尽管研究取得了重大进展.
- 弥合人工智能研究和临床实践之间的差距需要解决特定的挑战.
研究的目的:
- 促进关于人工智能在心血管成像中的翻译的多学科讨论.
- 在AI研究,开发,验证和实施生命周期中识别挑战和机会.
- 建立对推进心血管成像人工智能的机构需求的共识.
主要方法:
- 由国家心脏,肺和血液研究所领导的研讨会的总结.
- 促进专家之间的跨学科对话.
- 专注于人工智能开发和实施的整个生命周期.
主要成果:
- 确定了阻碍临床AI在心血管成像中的实施的关键挑战.
- 突出了加速转化人工智能技术的机会.
- 强调需要采用多学科,多机构的方法.
结论:
- 在心血管成像中推进人工智能需要跨机构的协调努力.
- 他们就支持研究和翻译的需求和机会达成共识.
- 战略性机构支持对于人工智能在心血管成像中的未来至关重要.
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