Bridging Pixels and Practice: AI-Assisted Mammography as a Next-Generation Diagnostic Strategy for Breast Cancer...

Area of Science:

• Oncology
• Medical Imaging
• Artificial Intelligence

Background:

• Breast cancer is a leading cause of mortality in women globally.
• Mammography is a key screening tool, but faces limitations in accuracy and access.
• Artificial intelligence (AI) is emerging as a tool to enhance mammography.

Purpose of the Study:

• To review the effectiveness of AI-assisted mammography as a next-generation screening strategy.
• To evaluate its potential in diverse global healthcare settings.

Main Methods:

• Systematic literature review following PRISMA guidelines.
• Inclusion of 14 studies after screening and quality appraisal.
• Thematic synthesis of benefits, challenges, and stakeholder views.

Main Results:

• AI-assisted mammography improves cancer detection rates and diagnostic accuracy.
• It reduces recall rates and radiologist workload.
• Key challenges include legal, ethical, social issues, and transferability.

Conclusions:

• AI-assisted mammography holds significant potential for breast cancer screening.
• Successful implementation necessitates changes in healthcare systems, organizations, and practices.
• Human oversight, collaboration, and workforce readiness are crucial for integration.