AI in Oncology Quiz

Answers and explanations appear as you take the quiz.

1. What did the Swedish MASAI trial report about AI-supported mammography screening?
   • It eliminated the need for radiologists
   • It detected more cancers while cutting screen-reading workload by roughly 44 percent
   • It reduced cancer detection but saved money
   • It only worked for lung cancer scans
2. What was the key lesson from IBM's Watson for Oncology?
   • Training on hypothetical cases and one institution's preferences does not produce reliable general treatment advice
   • AI cannot read any medical text
   • Oncologists refused to use computers
   • It was too accurate to be trusted
3. Which product did the FDA authorize in 2021 as the first AI to assist pathologists with prostate biopsies?
   • Sybil
   • MASAI
   • Paige Prostate
   • Navify
4. What does Sybil, from MIT and Massachusetts General Hospital, predict?
   • Breast density from mammograms
   • Radiotherapy doses
   • Prostate cancer grade
   • Future lung cancer risk from a single low-dose CT scan
5. How do most AI systems handle gigapixel whole-slide pathology images?
   • They shrink the slide to a single small thumbnail
   • They tile the slide into patches and aggregate them with multiple-instance learning
   • They convert the slide to text first
   • They only read the slide's label
6. Why is a high Dice score not enough to judge a radiotherapy contour?
   • Dice only measures color accuracy
   • Dice is measured in seconds
   • A small error near a critical structure like the spinal cord can matter more than overall overlap
   • Dice scores are always 100 percent
7. Why does the guide say finding more small cancers is not automatically a benefit?
   • Small cancers cannot be treated
   • It only helps if it improves survival rather than increasing overdiagnosis
   • Radiologists dislike extra findings
   • Screening programs have fixed quotas
8. What risk does the guide highlight when using large language models to summarize records for tumor boards?
   • They are too slow for weekly meetings
   • They cannot read pathology reports
   • They require patients to attend
   • Hallucinated or outdated facts