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Oftalmoloji Testinde Yapay Zeka
Fundus fotoğrafları, OCT taramaları, diyabetik retinopati taraması, sevk triyajı ve okülomik dahil olmak üzere retinal yapay zeka girişlerini ve görevlerini keşfedin.
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Why are retinal images used as inputs in ophthalmic deep-learning research?
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Testi çözdüğünüzde cevaplar ve açıklamalar görünür.
- 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
- 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
- Birçok retinal yapay zeka aracının merkezinde yer alan görüntüleme yöntemi OCT nedir?
- Göz için kan testi
- Bir tür kontakt lens
- Retina katmanlarının mikron çözünürlüklü kesitlerini veren optik tarama
- Göz basıncını ölçmeye yönelik bir yöntem
- 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
- 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
- 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
- Which imaging modality did the Moorfields-DeepMind model analyze to recommend referrals for retinal disease?
- Chest X-rays
- Ultrasound images of the heart
- Optical coherence tomography (OCT) scans
- Skin photographs
- 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