AI in Mammography and Breast Cancer Screening Quiz

Answers and explanations appear as you take the quiz.

1. How did the Swedish MASAI trial use AI in screening?
   • AI read all exams with no radiologists involved
   • AI was used only to schedule appointments
   • AI triaged exams so low-risk ones got one reader and high-risk ones got two
   • AI replaced mammograms with ultrasound
2. What did large studies find about traditional CAD introduced in the late 1990s?
   • It did not clearly improve accuracy and added false marks
   • It eliminated false positives
   • It doubled survival rates
   • It was never used in the United States
3. Why does dense breast tissue make screening harder?
   • Dense tissue blocks the X-ray machine from working
   • Dense tissue appears white on mammograms, like many tumors, and can hide cancers
   • Dense tissue only occurs in men
   • Dense tissue makes images too dark
4. Why is detecting more cancers not by itself proof that AI saves lives?
   • Detection rates are never measured
   • All detected cancers are harmless
   • Mammograms cannot detect cancer
   • Some detected cancers grow slowly, so interval and advanced cancer rates are key long-term measures
5. What happens when a program lowers the AI system's operating threshold?
   • It catches more cancers but increases recalls
   • It reduces both detections and recalls
   • It has no effect on results
   • It makes images higher resolution
6. What is automation bias in AI-supported mammography?
   • AI becoming faster over time
   • Machines producing biased images
   • Readers overtrusting AI markers or skipping areas the AI did not flag
   • Radiologists refusing all AI tools
7. Why should screening programs validate AI locally even after regulatory clearance?
   • Clearance expires after one day
   • Performance can shift with different machines, image processing and populations
   • Local validation makes the AI learn new languages
   • Regulators require AI to be retrained daily
8. In current AI-supported screening programs, who makes recall decisions?
   • The AI system alone
   • The patient
   • The equipment manufacturer
   • Radiologists