冠状动脉干预中的人工智能:程序前规划和程序援助
Saurabhi Samant1, Anastasios Nikolaos Panagopoulos2, Wei Wu3
1Department of Medicine, Montefiore Medical Center, Albert Einstein School of Medicine, Bronx, New York.
概括
人工智能 (AI) 通过提高诊断准确性和程序效率来改善心血管干预. 然而,算法偏见和透明度等挑战阻碍了AI在冠状动脉手术中的广泛临床采用.
科学领域:
- 心血管医学 心血管医学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在越来越多地影响心血管干预,特别是冠状动脉手术.
- 人工智能通过先进的成像提高了冠状动脉疾病的诊断准确度.
- 人工智能集成简化了工作流程,提高了准确性,效率和患者的治疗结果.
研究的目的:
- 审查冠状动脉干预人工智能应用的最新进展.
- 专注于AI在程序前规划和实时程序指导中的作用.
- 解决阻碍AI在该领域广泛临床采用AI的局限性.
主要方法:
- 在冠状动脉干预中对人工智能的当前文献的审查.
- 分析AI在诊断成像和程序指导中的应用.
- 检查临床采用的挑战和局限性.
主要成果:
- 人工智能显著提高了诊断准确度和干预策略的个性化.
- 人工智能集成提高了程序准确性,临床医生的效率和患者安全.
- 关键应用包括程序前规划和实时指导.
结论:
- 人工智能为心血管干预提供了巨大的好处,改善了诊断和程序.
- 算法偏见,缺乏透明度和道德问题仍然是重大挑战.
- 克服这些障碍对于AI在冠状动脉干预中的广泛临床采用至关重要.
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