Kedis ku xidhan hagaha · Dhexdhexaad Heerka

AI ee Kediska Indhaha

Sahami agabka AI ee isha iyo hawlaha, oo ay ku jiraan sawirada fundus, baarista OCT, baadhista cudurka macaanka- retinopathy, kala soocida gudbinta, iyo oculomis.

Wadooyinka haga ee la xidhiidhaAI ee Cilmiga Indhaha
Su'aal 1 ee 8

Why are retinal images used as inputs in ophthalmic deep-learning research?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Why are retinal images used as inputs in ophthalmic deep-learning research?
    • They contain visible retinal structures that can be analyzed for specific research tasks
    • They provide a complete diagnosis of every systemic disease
    • They replace all clinical examinations
    • They guarantee equal performance across populations
  2. What regulatory action did the FDA take for IDx-DR in 2018?
    • Cleared it through a 510(k) as a generic camera
    • Granted a De Novo request and classified the device
    • Approved it as a drug
    • Granted an emergency-use authorization
  3. Waa maxay OCT, habka sawir-qaadista ee udub dhexaad u ah qalabyo badan oo retina AI?
    • Baaritaan dhiig oo isha lagu sameeyo
    • Nooc ka mid ah muraayadaha indhaha
    • Sawirka indhaha oo siinaya xalal-yar oo iskutallaabta qaybaha lakabyada retina
    • Habka lagu cabbiro cadaadiska indhaha
  4. What did Poplin et al. report predicting from retinal fundus photographs?
    • A patient’s complete genome sequence
    • Exact medication adherence for the next year
    • Every future eye disease with certainty
    • Age, sex, smoking status, blood pressure and cardiovascular outcomes
  5. What did the RETFound paper evaluate?
    • A retinal-image foundation model pretrained on fundus photographs and OCT
    • A model trained only on chest radiographs
    • A surgical robot for retinal operations
    • A device that measures blood pressure from sound
  6. In the Moorfields-DeepMind paper, what were the two main network stages?
    • A speech recognizer followed by a language translator
    • A segmentation network followed by a classification network that gives diagnoses and referral recommendations
    • A tumor detector followed by a robot surgeon
    • A gene sequencer followed by a medication planner
  7. Which imaging modality did the Moorfields-DeepMind model analyze to recommend referrals for retinal disease?
    • Raajooyinka laabta
    • Ultrasound images of the heart
    • Optical coherence tomography (OCT) scans
    • Skin photographs
  8. Which neural-network family did the Poplin retinal-photo study use?
    • A finite-state transducer
    • A nearest-neighbor graph search
    • A recurrent speech recognizer
    • A deep convolutional neural network