What AI-CAD Detects—and Misses—in Real-World Breast Cancer Screening

Key Points

• AI-assisted cancer detection reveals a significant number of false negatives in real-world applications, impacting patient outcomes.
• Diagnostic accuracy metrics highlight that AI-CAD systems identify approximately 80% of malignant cases, leaving some undetected cases.
• Analysis of real-world data emphasizes that while AI-CAD improves detection, it does not replace the need for human review.
• The findings call for further improvements in AI algorithms, suggesting that more training data could enhance accuracy.