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AI Genetic Counseling vs In-Person Genetic Counseling for Breast Cancer
Study Summary
This trial is studying the feasibility of using AI to help with genetic counseling for women with breast cancer.
Eligibility Criteria
Inclusion Criteria
You may be eligible if you check “Yes” for the criteria belowTimeline
Treatment Details
Study Objectives
Outcome measures can provide a clearer picture of what you can expect from a treatment.Trial Design
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Who is running the clinical trial?
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- N/AI do not meet the criteria for genetic counseling according to NCCN guidelines.My breast cancer is at stage 0 to 3.I can understand and am willing to sign the consent form and complete questionnaires.
- Group 1: Artificial intelligence program
- Group 2: in-person genetic counseling
- No Placebo-Only Group - All patients enrolled in this study will receive some form of active treatment.
- Screening: It may take up to 3 Weeks to process to see if you qualify in this trial.
- Treatment: The duration you will receive the treatment varies.
- Follow Ups: You may be asked to continue sharing information regarding the trial for 6 Months after you stop receiving the treatment.
Frequently Asked Questions
Is admission to this clinical trial available for individuals at this time?
"Affirmative. The information present on clinicaltrials.gov reveals that this investigation is actively searching for study participants to join its ranks. This endeavor was initially published on June 29th 2021, and the most recent edit took place on November 22nd 2022. A total of 100 individuals are being recruited from a single location."
What is the scope of individuals taking part in this experiment?
"Affirmative. Data hosted on clinicaltrials.gov evidences that this medical trial, which was published on June 29th 2021, is currently recruiting individuals. Approximately 100 participants need to be enrolled from 1 different research centre."
What are the ultimate goals of this particular experiment?
"This two-year trial is aiming to measure the percentage of participants who opted for genetic testing despite not meeting the NCCN criteria. It will also investigate how often people decline this type of testing and compare mutation rates between different groups using Chi-square or Fisher's exact tests."
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