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通过人工智能推进喉科:对实施框架和战略进行全面审查
Rachel B Kutler1, Linh He1, Ross W Green2
1Sean Parker Institute for the Voice, Department of Otolaryngology-Head and Neck Surgery, Weill Cornell Medical College, New York.
概括
人工智能 (AI) 在喉科诊断和治疗方面表现有前途. 然而,成功的临床整合需要解决实际需求,可用性和工作流的调整,克服当前的实施障碍.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 喉科越来越多地探索人工智能 (AI) 以提高诊断,治疗计划和患者的治疗结果.
- 许多试点和概念验证研究强调了AI在现场的潜力.
- 尽管有希望的结果,但人工智能工具的转化为常规临床实践仍然有限.
研究的目的:
- 审查人工智能 (AI) 在喉科的整合.
- 确定阻碍人工智能试点研究转化为临床实践的障碍.
- 概述人工智能在喉科成功实施的战略.
主要方法:
- 本综述综合了AI在喉科学中的试点和概念验证研究的发现.
- 它检查了影响临床环境中采用人工智能技术的因素.
- 讨论了实施科学框架和人工智能集成的实际考虑.
主要成果:
- 人工智能显示出改善喉科诊断,治疗计划和患者治疗结果的巨大潜力.
- 成功实施人工智能需要早期应用实施科学框架.
- 关键因素包括解决临床需求,跨学科合作,可扩展性和强大的治理.
结论:
- 人工智能对推进喉科有很大的前景,但临床整合目前有限.
- 实现广泛采用需要实用解决方案,优先考虑临床医生和患者的需求,可用性和工作流集成.
- 转向可持续和临床一致的AI解决方案对于有意义的进步至关重要.
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