聊天机器人在头部和部粘膜恶性瘤治疗建议中的使用
Caretia J Washington1, Marianne Abouyared2, Shama Karanth3,4
1Department of Epidemiology, University of Florida College of Public Health and Health Professions and College of Medicine, Gainesville, Florida, USA.
概括
聊天GPT显示了头癌 (HNC) 患者教育的潜力,但阶段和治疗中的不准确性需要专家仔细审查. 在瘤学中安全使用需要指导.
科学领域:
- 在瘤学瘤学.
- 人工智能在医学中的应用
- 卫生识字 卫生识字
背景情况:
- 癌症患者越来越多地利用像ChatGPT这样的AI聊天机器人来获取健康信息.
- 确保人工智能生成的医疗信息的准确性至关重要,以防止患者受到伤害.
- 头部和部粘膜恶性瘤需要精确的分期和治疗计划.
研究的目的:
- 评估ChatGPT-3.5在提供头部和部粘膜恶性瘤的分期和治疗建议方面的准确性.
- 评估AI与国家综合癌症网络 (NCCN) 准则的协调程度.
- 确定使用ChatGPT在这种特定癌症类型的患者教育中的潜在风险和益处.
主要方法:
- 40个头癌病例的临床细节被输入到ChatGPT.
- 提示详细的癌症位置,大小,结节参与和症状.
- 根据2021年NCCN指导方针,三名经过奖学金培训的头癌外科医生对建议的准确性进行了评分.
主要成果:
- 根据NCCN指南,ChatGPT在95%的病例中准确地推了第一线治疗.
- 然而,55%的反应包括不准确的瘤,结节,转移 (TNM) 阶段.
- 50%的建议没有进行部剖析,40%的治疗不合适或不必要.
结论:
- 聊天GPT证明了头癌患者教育的潜力,与NCCN治疗指南保持一致.
- 阶段和治疗建议中的重大不准确性需要专家监督和进一步改进AI.
- 耳鼻喉科医生应提醒患者和实习生,不要仅仅依靠人工智能来获取头癌信息.
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