AI dalam Kuis Layanan Kesehatan

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. A model ranks emergency records for review. Why does success at ranking not establish its diagnostic accuracy?
   • Ranking for triage and suggesting diagnoses are different intended uses requiring different evidence
   • Ranking urgent records is always a diagnosis
   • A model’s brand determines its clinical role
   • A benchmark covers every possible clinical workflow
2. What is needed before assuming a model will work on a new patient group?
   • A higher confidence threshold only
   • Evaluation with representative data and relevant subgroups
   • A copy of the training loss
   • A product brochure
3. An imaging aid is moved to a hospital using different scanners. Why should it be evaluated again?
   • Devices cannot affect medical images
   • A model automatically normalizes every source
   • Scanner differences can alter the inputs and performance in the new workflow
   • Workflow is unrelated to clinical use
4. What can a retrospective result establish about future clinical use?
   • It guarantees safety in deployment
   • It proves the model generalizes to all hospitals
   • It replaces monitoring
   • It can support investigation but does not alone establish prospective readiness
5. What does FDA device status apply to?
   • A particular device and intended use, not every related model or workflow
   • Every system from the same company
   • All models trained on medical data
   • Any assistant that mentions a diagnosis
6. What should happen when a healthcare model is uncertain or unavailable?
   • Hide the uncertainty from clinicians
   • Provide a route for qualified human review
   • Make an automatic care decision anyway
   • Treat missing output as a negative result
7. Which information needs protection in an AI health workflow?
   • Only patient names
   • Only images before processing
   • Inputs, logs, derived features, and outputs
   • Nothing if the model is hosted remotely
8. What should be recorded when evaluating a healthcare AI system?
   • Only the hospital name
   • Hanya angka akurasi akhir
   • Only the patient-facing interface
   • Model, data, version, and context of use