Faculty Advisor(s)

Gina Capitano

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Abstract

Abstract

This Research explores the benefits of artificial intelligence (AI) in mammography and its role in cancer diagnosis. It examines statistical data related to AI-assisted diagnostics, highlights AI’s ability to detect early signs of cancer that may be imperceptible to the human eye, and discusses the growing adoption of AI among breast radiologists. Breast cancer is the most common cancer among women in the United States and the second-leading cause of cancer-related death. Approximately one in eight women will develop invasive breast cancer during their lifetime. The integration of AI in mammography represents a promising advancement in early detection and diagnostic accuracy. AI-based triage tools can help prioritize patients and enhance workflow efficiency for radiologists interpreting breast imaging studies. AI-powered computer-aided detection (AI-CAD) offers a new and effective approach to identifying breast cancer, potentially reducing its prevalence. Given the high percentage of missed diagnoses in annual screening mammograms, AI presents a valuable opportunity for improving outcomes in breast cancer detection.

Publication Date

2025

Document Type

Poster

Department

Medical Imaging

Keywords

mammography, breast cancer, artificial intelligence, AI-CAD, women

Disciplines

Medicine and Health Sciences

AI in Mammography

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