心声回声报告的革命:人工智能和自然语言处理的新时代
1Department of Cardiovascular Medicine, Nephrology, and Neurology, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara Town, Okinawa, Japan. echo.cardio@gmail.com.
Journal of echocardiography
|June 13, 2023
概括
人工智能 (AI) 通过提高准确性和减少医生的工作量来增强心血管成像,特别是在心声回声学中. 整合自然语言处理承诺更快的报告和更好的患者结果,尽管存在挑战.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
- 医疗信息学 医疗信息学
背景情况:
- 与CT和MRI相比,心声学解释显示了较高的观察者变异性.
- 心血管成像中的医生工作量越来越令人担忧.
- 目前的心声回声图报告可能会耗时.
研究的目的:
- 审查基于人工智能的心声回声报告系统.
- 突出AI和NLP在自动诊断和加速报告方面的潜力.
- 讨论AI整合在临床实践中的好处和挑战.
主要方法:
- 对人工智能在心声回声学中的应用进行了全面的文献审查.
- 分析基于人工智能的报告系统和NLP技术,如ChatGPT.
- 评估对医生的准确性,速度和工作量的影响.
主要成果:
- 人工智能可以提高心声回声学解释的准确性和效率.
- 包括ChatGPT在内的NLP集成显示了报告中革命性的进步的潜力.
- 人工智能提供加速报告,可能改善患者的治疗结果和获得护理的机会.
结论:
- 人工智能在改变心血管成像和心声回声学方面具有重大前景.
- 仔细考虑数据质量,过度依赖,法律/道德问题以及成本至关重要.
- 心脏病专家必须保持更新,并学习如何有效地将AI整合到临床实践中,以获得最佳的患者护理.
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