Викторина, связанная с руководством · Средний Уровень
Викторина «ИИ в офтальмологии»
Изучите входные данные и задачи искусственного интеллекта сетчатки, включая фотографии глазного дна, ОКТ-сканирование, скрининг диабетической ретинопатии, сортировку пациентов и окуломику.
Вопрос 1 из 8
Why are retinal images used as inputs in ophthalmic deep-learning research?
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Ответы и пояснения появляются по мере прохождения теста.
- 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
- Что такое ОКТ, метод визуализации, который является центральным во многих инструментах искусственного интеллекта сетчатки?
- Анализ крови для глаз
- Тип контактной линзы
- Оптическое сканирование, дающее поперечные сечения слоев сетчатки с микронным разрешением.
- Способ измерения глазного давления
- 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?
- Рентген грудной клетки
- 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