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Generative AI Patient Education Module for Breast Oncology

NCT07512271 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 35

Last updated 2026-04-06

No results posted yet for this study

Summary

This study evaluates the safety, accuracy, and impact of an artificial intelligence (AI) tool designed to support patient education in breast cancer care for breast oncology patients under selected physicians care within the University of California, San Francisco breast cancer center and affiliate sites.

Conditions

Interventions

OTHER

Survey (Participant)

Participants will complete surveys to evaluate their experience using OpenEvidence CareConnect RAG LLM tool.

OTHER

OpenEvidence CareConnect

Retrieval-Augmented Generation (RAG) Large Language Model (LLM) tool

OTHER

Survey (Provider)

The provider will complete a survey to assess OpenEvidence CareConnect RAG LLM tool's usefulness and the quality of its patient education communication.

Sponsors & Collaborators

Principal Investigators

  • Michelle Melisko, MD · University of California, San Francisco

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-05-01
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07512271 on ClinicalTrials.gov