চক্ষুবিদ্যা কুইজে এআই

আপনি কুইজ নেওয়ার সাথে সাথে উত্তর এবং ব্যাখ্যাগুলি উপস্থিত হয়।

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. ওসিটি কি, অনেক রেটিনাল এআই টুলের কেন্দ্রীয় ইমেজিং পদ্ধতি?
   • চোখের জন্য একটি রক্ত ​​পরীক্ষা
   • এক ধরনের কন্টাক্ট লেন্স
   • একটি অপটিক্যাল স্ক্যান যা রেটিনার স্তরগুলির মাইক্রোন-রেজোলিউশন ক্রস-সেকশন দেয়
   • চোখের চাপ পরিমাপের একটি পদ্ধতি
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?
   • বুকের এক্স-রে
   • 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