AI in Mammography: Opportunities and Pitfalls

Artificial intelligence is transforming mammography by improving detection rates and workflow efficiency. However, challenges remain in validation, bias, and integration into clinical practice.

Key Points

• Improved detection of subtle lesions
• Workflow automation
• Need for robust validation
• Addressing algorithmic bias

Conclusion

AI holds promise for mammography, but careful implementation and oversight are essential for safe and effective use.