PRISM Trial to Examine Impact of AI on Mammogram Accuracy and Patient Experience

Researchers at UCLA and UC Davis will lead a $16 million clinical trial to determine whether artificial intelligence (AI) can improve mammogram accuracy and patient experience. The PRISM Trial will evaluate the impact of AI on mammogram accuracy, recall rates, and patient anxiety, with a focus on patient-centered research and outcomes.

Key Takeaways:

  • The PRISM Trial, a $16 million study, will evaluate the impact of AI on mammogram accuracy and patient experience.
  • The trial will involve hundreds of thousands of mammograms interpreted at academic medical centers and breast imaging facilities in California, Florida, Massachusetts, Washington, and Wisconsin.
  • The AI support tool, Transpara by ScreenPoint Medical, will be studied in conjunction with the Aidoc aiOS platform for clinical workflow integration.
  • The trial aims to determine whether AI helps or hinders radiologists in interpreting mammograms, with a focus on patient-centered research and outcomes.
  • The study will include focus groups and surveys to capture how patients and radiologists perceive and trust AI-assisted care.
  • Expert radiologists will remain in the driver's seat for all interpretations, and AI may be a useful co-pilot, but not a replacement, for radiologists.
  • The trial is expected to inform future policy decisions, best practices in screening, and how to most effectively integrate emerging technologies into patient care.
  • The study brings together seven leading academic medical centers, including UCLA, UC Davis, Boston Medical Center, UC San Diego Health, University of Miami, University of Washington -- Fred Hutchinson Cancer Center, and University of Wisconsin--Madison.

Statistics:

  • The PRISM Trial is a $16 million study.
  • The trial will involve hundreds of thousands of mammograms.
  • The AI support tool, Transpara by ScreenPoint Medical, will be studied in conjunction with the Aidoc aiOS platform.
  • The trial will include focus groups and surveys to capture how patients and radiologists perceive and trust AI-assisted care.
  • The study brings together seven leading academic medical centers.

Sources:

  • "UCLA and UC Davis to Lead $16 Million Trial to Evaluate AI in Breast Cancer Screening." University of California, Los Angeles Health. Sept. 23.
  • "PRISM Trial to examine impact of AI on mammogram accuracy and patient experience."
  • "Transpara by ScreenPoint Medical - Mobile Mammography Solution for Early Cancer Detection." ScreenPoint Medical.