人工智能驱动的以患者为中心的护理:妇科癌症遗传咨询的数字化转型框架
Ruiye Yang1, Xiaoran Zheng2, Yaoqi Deng3
1Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Science progress
|January 19, 2026
概括
在妇科癌症遗传咨询中,DeepSeek AI提供了卓越的信息广度和可操作的建议,而ChatGPT则提供了更快,更简洁的摘要. 战略性AI选择增强了以患者为中心的遗传教育.
科学领域:
- 人工智能在医学中的应用
- 基因组医学是基因组医学.
- 在瘤学瘤学.
背景情况:
- 人工智能 (AI) 越来越多地被用于临床应用.
- 评估AI在遗传咨询等专业领域的作用至关重要.
- 妇科癌症护理需要细微的遗传咨询,以评估遗传风险.
研究的目的:
- 在妇科癌症遗传咨询场景中比较ChatGPT和DeepSeekAI模型的推理能力.
- 引导以患者为中心的AI在临床遗传学中的实施.
- 用验证的信息质量和患者理解指标来评估AI性能.
主要方法:
- 利用了40个国家综合癌症网络一致的咨询场景.
- 由双重瘤学家进行盲目评估.
- 采用全球质量尺度和患者教育材料评估工具进行评分.
主要成果:
- 深度搜索显示了更大的信息广度和卓越的视觉通信 (图表集成).
- 深度搜索更有可能建议明确,可操作的步骤 (增加49倍).
- 聊天GPT生成的响应速度比22%快,在简洁的总结方面表现出色.
结论:
- 人工智能模型的战略选择,如DeepSeek用于详细的教育和ChatGPT用于快速总结,优化了遗传咨询.
- 在临床医生监督的指导下,人工智能集成增强了在遗传性癌症治疗中以患者为中心的遗传教育.
- 这种方法支持通过有效的人与人工智能的协作来支持医疗保健的数字化转型.
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