在科威特探索放射学家对人工智能的准备:见解和应用
Asseel Khalaf1, Manar Alshammari2, Hawraa Zayed3
1Radiologic Sciences Department, Faculty of Allied Health Sciences Kuwait University Kuwait City Kuwait.
Health science reports
|March 31, 2025
概括
放射科医生渴望学习人工智能 (AI) 用于医学成像,但教育是必要的. 人工智能在生成胸部报告方面表现有前途,尽管准确性需要进一步开发.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 放射学 放射学 放射学 放射学
背景情况:
- 人工智能 (AI) 的采用在医学成像中正在增加.
- 人工智能为患者护理,工作流程优化和数据分析提供了潜在的好处.
- 放射学家对人工智能集成的看法对于成功实施至关重要.
研究的目的:
- 探索放射科医生的知识,感知和对医疗成像中的AI的期望.
- 评估基于人工智能的软件,用于生成胸部放射学报告.
- 与放射科医生评估相比,评估人工智能生成的报告的准确性.
主要方法:
- 对50名放射科医生进行了横截面调查,以评估AI知识和感知.
- 一项回顾性分析涉及40张胸部X射线图,由AI软件 (西门子) 分析.
- 一位放射科医生使用利克特尺度评估了人工智能生成的报告的准确性.
主要成果:
- 98%的放射科医生认为他们必须适应人工智能技术,92%的人对人工智能培训感兴趣.
- 放射学家对人工智能的看法与他们对人工智能教育的看法有显著的相关性 (p < 0.05).
- 放射科医生同意53%的人工智能产生的胸部报告,表明有改进的余地.
结论:
- 人工智能教育和培训在放射科医生中有明显的需求.
- 由人工智能驱动的工具在推进医学成像分析方面显示出巨大的潜力.
- 需要进一步的研究和开发,以提高AI在临床实践中的准确性和整合性.
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