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Clinically Meaningful AI Detection
of Interval Cancers
Discover how AI is changing what’s possible in breast cancer screening.
Interval cancers—those that appear between screening rounds—are often aggressive and hard to detect. But new evidence shows that AI can help identify these cancers earlier, improving diagnostic confidence and potentially impacting long-term outcomes.
We’ve compiled the latest peer-reviewed research on how Lunit INSIGHT DBT and INSIGHT MMG are making clinically meaningful strides in detecting interval cancers.
Download the clinical one-pager to learn:
- How interval cancers serve as a surrogate marker for long-term screening outcomes.
- How studies using Lunit INSIGHT MMG and Lunit INSIGHT DBT demonstrate earlier, more accurate cancer detection.
- Real-world findings: AI can correctly detect and localize up to one-third of interval cancers earlier.
- How AI scores can guide enhanced screening strategies, like MRI follow-up for high-risk women.
See the clinical evidence behind AI that’s redefining breast cancer screening.