@Article{info:doi/10.2196/25184,
author="Sato, Ann
and Haneda, Eri
and Suganuma, Nobuyasu
and Narimatsu, Hiroto",
title="Preliminary Screening for Hereditary Breast and Ovarian Cancer Using a Chatbot Augmented Intelligence Genetic Counselor: Development and Feasibility Study",
journal="JMIR Form Res",
year="2021",
month="Feb",
day="5",
volume="5",
number="2",
pages="e25184",
keywords="artificial intelligence; augmented intelligence; hereditary cancer; familial cancer; IBM Watson; preliminary screening; cancer; genetics; chatbot; screening; feasibility",
abstract="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. ",
issn="2561-326X",
doi="10.2196/25184",
url="https://formative.jmir.org/2021/2/e25184",
url="https://doi.org/10.2196/25184",
url="http://www.ncbi.nlm.nih.gov/pubmed/33544084"
}