Christoph Lee explores using AI to improve mammogram screening accuracy
In an effort to improve accuracy in mammogram screening, Christoph Lee, MD, MS, MBA co-leads a clinical trial at the University of Wisconsin–Madison and six other academic research centers in the U.S. to validate the use of an artificial intelligence platform to help radiologists interpret mammograms.
Lee engages with UW Health | Carbone Cancer Center’s Wisconsin Oncology Network of Imaging Excellence (WONIX) as part of the clinical trial, which involves observing whether one of the leading FDA-approved AI tools for 3D mammography interpretation can help radiologists detect more cancers when used in the clinic.
“The whole goal of routine screening for breast cancer is to detect them at the earliest stages, when they can be cured, so if we can detect cancers earlier with AI, then we can start treatment sooner,” Dr. Lee said.
Dr. Lee explained that the trial is not pitting AI against radiologists.
“At the end of the day, the radiologists will always make the final call (on the results and next steps),” Dr. Lee said. “It’s a question of, ‘Can this AI tool help a radiologist interpret mammograms better, or not?’”
Learn more in this news article on UW Health’s website.