Uncovering Novel Pathways for Your Career (2022)-WEB26-2022

Video Transcription

Video Summary

In a recent webinar titled "Advances in Artificial Intelligence and Breast Health," Dr. Terri-Ann Gazinsky discussed the integration of AI in breast imaging, highlighting advancements in synthetic imaging and tomosynthesis. Sponsored by Hologic and RS&A, the webinar emphasized AI's potential to enhance diagnostic accuracy and efficiency in breast health.<br /><br />Dr. Gazinsky, the Chief of the Community Breast Division at the University of Pittsburgh Medical Center, focused on how AI is transforming breast imaging modalities, including stereotactic biopsies and MRI. She explained that AI, particularly through machine learning and deep learning, helps improve sensitivity and specificity in detecting breast cancer by analyzing patterns and textures beyond human capability.<br /><br />Key technologies discussed included the Intelligent 2D synthetic imaging and 3D Quorum, which uses AI to reduce the number of tomosynthesis slices, enhancing radiologists' efficiency and reducing fatigue. The webinar also covered Genius AI Detection which improves diagnostic accuracy by marking potential cancerous lesions with a significantly reduced rate of false positives.<br /><br />Dr. Gazinsky also addressed the need for consistent breast density evaluation, supporting AI tools like Quantra for more reproducible and reliable assessments. Overall, the webinar underscored the partnership of human expertise and machine intelligence to improve patient outcomes in breast health.

Keywords

Artificial Intelligence

Breast Imaging

Synthetic Imaging

Tomosynthesis

Machine Learning

Deep Learning

Diagnostic Accuracy

Breast Cancer Detection

Radiologist Efficiency