评估基于人工智能的药丸计数应用程序中的陷
Namie Tanamachi1, Takahiro Amemiya2, Takashi Tomita1,3
1Department of Pharmacy, International University of Health and Welfare Mita Hospital, Minato, JPN.
Cureus
|September 25, 2025
概括
人工智能 (AI) 计量药片的应用程序可以提高药剂师的效率. 这项研究评估了雅库希马鲁卡苏科补充剂的AI识别,发现透明度和重叠影响精度对于提高医疗安全至关重要.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算机科学 计算机科学
- 医疗技术 医疗技术 医学技术
背景情况:
- 基于人工智能 (AI) 的药丸计数应用程序正在临床环境中出现.
- 这些工具旨在提高药剂师的效率.
- 人工智能在药片计数方面的安全性和可靠性,特别是对于特定的补充剂,仍然没有得到评估.
研究的目的:
- 评估AI在识别Yakushimarukazuko®补充剂方面的准确性.
- 确定影响基于人工智能的药丸识别的操作因素.
- 评估在制药实践中对医疗安全的影响.
主要方法:
- 利用基于AI的药丸计数应用程序进行识别测试.
- 评估了补充透明度,重叠和方向对AI识别准确性的影响.
- 专注于Yakushimarukazuko®补充剂 (日本东京的NeoX公司).
主要成果:
- 人工智能识别准确度受到透明度和补充的重叠等因素的重大影响.
- 补充剂的方向也在AI识别它们的能力中发挥了作用.
- 确定了与这些因素相关的运营问题.
结论:
- 透明度,重叠和方向是人工智能药丸识别的关键操作因素.
- 解决这些操作问题对于最小化AI药丸计数工具的错误至关重要.
- 改进的AI准确性提高了制药实践中的整体医疗安全.
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