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ChatGPT accurately performs genetic counseling for gynecologic cancers
Jharna M Patel1, Catherine E Hermann1, Whitfield B Growdon1
1New York University Langone Health, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, New York, NY, United States of America.
Gynecologic Oncology
|April 27, 2024
Summary
ChatGPT accurately answers most questions on genetic testing and counseling for gynecologic cancers. This AI tool shows potential as a patient resource, but requires further input from gynecologic oncologists.
Area of Science:
- Medical Informatics
- Oncology
- Genetics
Background:
- Artificial Intelligence (AI) systems, like ChatGPT, are increasingly capable of medical tasks, including patient counseling.
- The accuracy of AI in specialized medical fields like genetic testing and counseling for gynecologic cancers requires thorough evaluation.
Purpose of the Study:
- To quantify the accuracy of ChatGPT (version 3.5) in answering common questions related to genetic testing and counseling for gynecologic cancers.
- To assess the AI's performance in providing correct and comprehensive information across different categories of genetic health inquiries.
Main Methods:
- Forty questions were developed with gynecologic oncologists, covering genetic counseling guidelines and specific genetic disorders.
- ChatGPT version 3.5 was queried, and its answers were scored by two gynecologic oncologists using a 4-point scale for accuracy and comprehensiveness.
- Discrepancies in scoring were resolved by a third reviewer.
Main Results:
- ChatGPT provided correct and comprehensive answers for 82.5% of the questions.
- The AI achieved 100% accuracy and comprehensiveness in answering questions about genetic counseling guidelines.
- Performance varied for specific genetic disorders, with high accuracy for hereditary breast and ovarian cancer (88.2%) and Lynch syndrome (66.6%).
Conclusions:
- ChatGPT demonstrates high accuracy in answering a majority of questions regarding genetic syndromes, testing, and counseling for gynecologic cancers.
- The AI shows promise as a supplementary patient resource for genetic counseling information.
- Further refinement and input from gynecologic oncologists are recommended to enhance patient education on genetic syndromes using AI.
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