AI to Reduce the Interval Cancer Rate of Screening Digital Breast Tomosynthesis

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= .01). Using the same threshold (score of 10 or greater considered positive), AI correctly localized 84.4% (282 of 334) of screening-detected (true-positive) cancers and correctly categorized 85.9% (286 of 333) and 73.3% (244 of 333) of true-negative and false-positive cases, respectively, as negative. Conclusion AI correctly localized nearly one-third of interval cancers at retrospective evaluation of screening DBT examinations and has the potential to decrease the interval cancer rate.