Sato Ann, Haneda Eri, Suganuma Nobuyasu, Narimatsu Hiroto
Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.
Department of Breast and Endocrine Surgery, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.
JMIR Form Res. 2021 Feb 5;5(2):e25184. doi: 10.2196/25184.
Breast cancer is the most common form of cancer in Japan; genetic background and hereditary breast and ovarian cancer (HBOC) are implicated. The key to HBOC diagnosis involves screening to identify high-risk individuals. However, genetic medicine is still developing; thus, many patients who may potentially benefit from genetic medicine have not yet been identified.
This study's objective is to develop a chatbot system that uses augmented intelligence for HBOC screening to determine whether patients meet the National Comprehensive Cancer Network (NCCN) BRCA1/2 testing criteria.
The system was evaluated by a doctor specializing in genetic medicine and certified genetic counselors. We prepared 3 scenarios and created a conversation with the chatbot to reflect each one. Then we evaluated chatbot feasibility, the required time, the medical accuracy of conversations and family history, and the final result.
The times required for the conversation were 7 minutes for scenario 1, 15 minutes for scenario 2, and 16 minutes for scenario 3. Scenarios 1 and 2 met the BRCA1/2 testing criteria, but scenario 3 did not, and this result was consistent with the findings of 3 experts who retrospectively reviewed conversations with the chatbot according to the 3 scenarios. A family history comparison ascertained by the chatbot with the actual scenarios revealed that each result was consistent with each scenario. From a genetic medicine perspective, no errors were noted by the 3 experts.
This study demonstrated that chatbot systems could be applied to preliminary genetic medicine screening for HBOC.
乳腺癌是日本最常见的癌症形式；其与遗传背景以及遗传性乳腺癌和卵巢癌（HBOC）有关。HBOC诊断的关键在于筛查以识别高危个体。然而，基因医学仍在发展；因此，许多可能从基因医学中获益的患者尚未被识别出来。
本研究的目的是开发一种使用增强智能进行HBOC筛查的聊天机器人系统，以确定患者是否符合美国国立综合癌症网络（NCCN）的BRCA1/2检测标准。
该系统由一位专门从事基因医学的医生和认证的基因咨询师进行评估。我们准备了3种场景，并与聊天机器人进行对话以反映每种场景。然后我们评估了聊天机器人的可行性、所需时间、对话和家族史的医学准确性以及最终结果。
场景1的对话时间为7分钟，场景2为15分钟，场景3为16分钟。场景1和2符合BRCA1/2检测标准，但场景3不符合，这一结果与3位专家根据这3种场景回顾性审查与聊天机器人对话的结果一致。聊天机器人确定的家族史与实际场景的比较表明，每个结果都与每个场景一致。从基因医学角度来看，3位专家未发现错误。
本研究表明，聊天机器人系统可应用于HBOC的初步基因医学筛查。
