Вікторина зі штучного інтелекту в стоматології

Відповіді та пояснення з’являються під час виконання тесту.

1. What is a documented assistive task for dental-radiograph AI?
   • Automatically replacing all clinical examinations
   • Making every treatment decision without a dental professional
   • Diagnosing every oral condition from a filename
   • Flagging candidate caries or other specified image findings for professional assessment
2. Як такі інструменти, як «Друга думка Перла», представляють свої висновки стоматологам і пацієнтам?
   • Як друкований нарис
   • Як кольорові накладки на рентгенівському знімку
   • Як аудіоподкаст
   • Як рукописна записка
3. What does Overjet describe quantifying in its radiographic periodontal-assessment workflow?
   • Bone-level distances in millimeters
   • Breath freshness from a radiograph
   • The exact color of each tooth under natural light
   • Every aspect of gum-disease staging without an examination
4. Which company is associated with Invisalign's digital tooth-movement planning workflow?
   • Pearl's pathology-overlay product alone
   • An acoustic-scene classifier manufacturer
   • Align Technology
   • A railway signal-control agency
5. In the ADA's 2025 dental image-analysis report, what supplements radiographic interpretations before a diagnosis?
   • Only the software's marketing headline
   • Clinical examination and professional judgment
   • Only the color chosen for the pathology overlay
   • A rule that every AI finding must be treated immediately
6. What do annotated dental training images provide to a supervised image-analysis model?
   • A guarantee that every future diagnosis is correct
   • A replacement for all external evaluation
   • Only the patients' preferred appointment times
   • Labeled examples of the findings the model is intended to learn
7. Why does the ADA report emphasize an independent external-validation dataset for dental AI?
   • To ensure the test contains only repeated training images
   • To replace all patient-context information with the model's name
   • To assess performance beyond the manufacturer's training data and for applicable patients and use cases
   • To prove that every imaging modality has identical accuracy
8. What does a high confidence score on a dental AI finding establish by itself?
   • The model's output confidence, rather than an independently confirmed clinical diagnosis
   • That examination findings cannot contradict the output
   • That all possible image artifacts have been eliminated
   • That treatment is automatically required