UCLA Leads $16 Million Study on AI’s Role in Improving Mammogram Accuracy

UCLA Health is spearheading a groundbreaking $16 million national study to assess how artificial intelligence (AI) can enhance mammogram accuracy and elevate the patient experience. This multi-institutional PRISM trial sets out to determine if AI-powered tools can support radiologists by providing more precise and consistent breast cancer screening results.

UCLA researchers studying AI in mammogram interpretation

Transforming Breast Cancer Screening with AI

Researchers at UCLA, along with national collaborators, will examine how AI can identify subtle changes in mammogram images that might be missed by the human eye. The PRISM trial will not only measure how AI impacts diagnostic accuracy but also gather feedback from both patients and radiologists to evaluate the overall experience. Early and accurate detection is crucial in the fight against breast cancer, and this study may pave the way for more personalized and effective screening strategies.

National Collaboration for Better Outcomes

The new PRISM trial is the latest in a series of research initiatives focused on harnessing AI to improve medical imaging. By working with multiple institutions and leveraging advanced technology, UCLA aims to provide robust evidence on the benefits and challenges of integrating AI into routine mammography.

Sources:
UCLA Health News Release