AI's Role in Breast Cancer Imaging and Pathology

AI enhances breast cancer care from risk assessment to treatment response via advanced mammography, MRI, ultrasound, and pathology tools, but its clinical ubiquity is limited by unresolved adoption challenges.

• AI improves risk modeling, tomosynthesis interpretation, and integrates MRI/ultrasound into diagnostic workflows.
• Pathology AI aids histological diagnosis, marker quantification, and mutation prediction.
• Real-world adoption requires solutions for regulatory and practical barriers.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.