Challenge:

Improve accuracy and speed of breast cancer diagnosis from mammograms, reducing false positives and missed cases.

AI Solution:

Google Health developed a deep learning model trained on thousands of mammograms across the UK and US. The AI was designed to detect signs of breast cancer with greater precision than radiologists alone.

Implementation Highlights:

• Collaborated with NHS and US medical institutions
• AI reviewed scans and flagged potential malignancies
• Used in tandem with radiologists for double-reading

Quantifiable Results:

• 9.7% reduction in false positives
• 5.7% reduction in false negatives
• Improved diagnostic speed and consistency

Strategic Insight:

This case shows how AI can augment—not replace—clinical expertise. By reducing diagnostic errors, it improves patient outcomes and lowers healthcare costs. The partnership model with public health systems also demonstrates scalable deployment.