Guide-linked quiz · Medium Level

AI in Pathology Quiz

Review digital pathology images, tile-based processing, weak slide labels and specific AI-assisted diagnostic tasks and their limits.

Related guide pathsAI In Pathology
Question 1 of 8

What is a 'whole-slide image' in digital pathology?

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  1. What is a 'whole-slide image' in digital pathology?
    • A gigapixel digital scan of an entire tissue slide
    • A single cell photographed with a phone
    • An X-ray of a patient's chest
    • A handwritten lab report
  2. Why do AI models process slides in small tiles or patches?
    • Because color is unimportant in pathology
    • Because the full gigapixel image is too large to feed in at once
    • Because tissue is always square
    • To make the image black and white
  3. Multiple-instance learning helps when:
    • There are no labels at all and no goal
    • The model needs to translate text
    • Only a slide-level label is known, not the exact tumor location
    • The slide is a normal photograph
  4. What regulatory pathway did FDA use for Paige Prostate?
    • It issued a blanket approval for all pathology AI
    • It granted a drug marketing authorization
    • It declared that pathologists are no longer needed
    • It granted a De Novo classification for the specific device and intended use
  5. What does an AI Ki-67 count measure in a tumor?
    • How quickly the tumor cells are proliferating
    • The patient's blood pressure
    • The size of the hospital
    • The slide's thickness in millimeters
  6. What can an AI system provide in a pathology workflow, according to the scoped examples?
    • A definitive cancer diagnosis without a pathologist
    • A decision-support output that a pathologist reviews in context
    • An automatic treatment prescription
    • A replacement for tissue sampling
  7. What is a key idea in CLAM for whole-slide classification?
    • Every patch must have a manually annotated pixel mask
    • The model analyzes only patient age
    • Attention-based multiple-instance learning can identify informative image patches from slide-level labels
    • It replaces the slide image with a text report
  8. What did Paige Prostate receive De Novo authorization to assist pathologists with?
    • Automatically selecting cancer treatment
    • Replacing biopsies with blood tests
    • Diagnosing every cancer type from MRI
    • Identifying suspicious regions on digitized prostate biopsy slides

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