%0 Journal Article
%@ 2561-326X
%I JMIR Publications
%V 5
%N 2
%P e25184
%T Preliminary Screening for Hereditary Breast and Ovarian Cancer Using a Chatbot Augmented Intelligence Genetic Counselor: Development and Feasibility Study
%A Sato,Ann
%A Haneda,Eri
%A Suganuma,Nobuyasu
%A Narimatsu,Hiroto
%+ Department of Genetic Medicine, Kanagawa Cancer Center, 2-3-2 Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan, 81 045 520 2222, hiroto-narimatsu@umin.org
%K artificial intelligence
%K augmented intelligence
%K hereditary cancer
%K familial cancer
%K IBM Watson
%K preliminary screening
%K cancer
%K genetics
%K chatbot
%K screening
%K feasibility
%D 2021
%7 5.2.2021
%9 Original Paper
%J JMIR Form Res
%G English
%X Background: 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. Objective: 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. Methods: 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. Results: 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. Conclusions: This study demonstrated that chatbot systems could be applied to preliminary genetic medicine screening for HBOC. 
%M 33544084
%R 10.2196/25184
%U https://formative.jmir.org/2021/2/e25184
%U https://doi.org/10.2196/25184
%U http://www.ncbi.nlm.nih.gov/pubmed/33544084