Kansas City, Kan- The discussion on AI in breast cancer detection highlighted the evolving role of AI in mammogram readings. Dr. Onalisa Winblad and Dr. Carol Fabian emphasized the benefits of 3D mammography over 2D, noting that 3D mammograms detect more cancers and reduce false positives. Dr. Jessica Peterson's research showed no difference in cancer detection rates before and after AI integration but noted AI missed nearly one in five cancers. The panel agreed AI is a tool, not a replacement for radiologists, and stressed the importance of validating AI tools. Kim Suter, patient Kim is patient, shares her family history and reasons for enrolling in Dr. Fabian's clinic. She sees AI as a tool for better decision-making.
Dr. Onalisa Winblad, Director of Breast Imaging, The University of Kansas Cancer Center Dr. Winblad believes AI will enhance radiologists' jobs, not replace them. She emphasizes the importance of adopting AI tools that improve healthcare efficiency and qua
Dr. Carol Fabian, Breast Medical Oncologist, The University of Kansas Cancer Center Dr. Fabian explains the challenges of dense breast tissue and the role of AI in predicting breast cancer risk. She mentions the FDA's approval of AI programs for predicting breast cancer risk.
Dr. Jessica Peterson, Breast Radiologist, The University of Kansas Cancer Center Dr. Peterson stresses the need for vigilance in using AI to improve healthcare delivery. She emphasizes the need for outreach and reassurance to ensure patients understand AI's benefits.
