Kedis ku xidhan hagaha · Adag Heerka

AI ee Kediska Daryeelka Caafimaadka

Ku qiimee daryeelka caafimaadka AI iyadoo la isticmaalayo loogu talagalay, bukaanada iyo aaladaha matala, kormeerka aadanaha, sirnimada, iyo sababta heerka sharciyeynta uu u yahay mid gaar ah.

Wadooyinka haga ee la xidhiidhaAI Daryeelka Caafimaadka
Su'aal 1 ee 8

A model ranks emergency records for review. Why does success at ranking not establish its diagnostic accuracy?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  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
    • Booqada alaabta
  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
    • Kaliya lambarka saxda ah ee kama dambaysta ah
    • Only the patient-facing interface
    • Model, data, version, and context of use