使用IBM沃森助理平台开发用于放射治疗的AI辅助教育聊天机器人.
James C L Chow1,2, Valerie Wong3, Leslie Sanders4
1Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1X6, Canada.
Healthcare (Basel, Switzerland)
|September 9, 2023
概括
一个人工智能聊天机器人使放射治疗知识可供公众使用. 该工具提供信息和测试,通过用户友好的沟通改善对放射治疗的理解.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 公众对放射治疗信息的访问是有限的.
- 患者经常难以理解复杂的医疗信息.
- 人工智能为可访问的健康教育提供了潜在的解决方案.
研究的目的:
- 开发一个人工智能驱动的聊天机器人,用于公共辐射疗法知识的传播.
- 通过交互式沟通,增强用户对放射治疗的理解.
- 创建一个用户友好的平台,以访问放射治疗信息.
主要方法:
- 使用IBM沃森助理开发一个AI聊天机器人.
- 使用预先设计的流程图来进行对话流和跟踪.
- 综合信息传递和关于放射治疗主题的测试.
主要成果:
- 聊天机器人为放射治疗查询提供类似人类的通信.
- 一个用户友好的界面和预定义的问题有助于焦虑的用户.
- 聊天机器人通过积极的用户反成功传达了知识.
结论:
- 建议对聊天机器人的对话方法进行改进.
- 整合翻译功能将扩大可访问性.
- 探索像ChatGPT这样的先进人工智能用于医疗聊天机器人是有希望的.
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