| 1 |
What is the primary goal of the article according to its introduction?
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To explore advancements, applications, and challenges of generative AI in medical imaging |
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Because we get to explore more advance applications.
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Because it felt right in my opinion
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| 2 |
How do generative AI models differ from traditional discriminative models in healthcare applications?
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1. Generative models interpret data rather than create it |
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I believe that an ai is only capable in doing data and stuff but not meant for actually creating or making something, due to the dangerousness it could put in the healthcare applications
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Physics
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| 3 |
What is meant by the term “model as a dataset”?
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3. Sharing trained model weights instead of raw data |
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Because “model as a dataset” is to organize information for the analysis.
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Physics
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| 4 |
Which statement correctly distinguishes physics-informed and statistical models?
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3. Physics-informed models incorporate biological or physical principles |
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Because they are built using real laws of nature
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Physics theory
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| 5 |
According to the article, what does the “image generation trilemma” describe?
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3. Choosing between AI models and radiologists |
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In my opinion I think the word “image generation trilemma” best describes as choosing between AI models and Radiologist because of the word generation, I think it means how they improved such as Ai and a regular radiologist
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Mathematical theory
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| 6 |
What is the Human Turing Test used for in medical image synthesis?
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4. To verify data anonymization |
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Maybe it’s because they need to do a verify before they receive there pills
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Medical theory
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| 7 |
Which of the following is NOT mentioned as a potential benefit of synthetic data in healthcare?
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4. Eliminating all medical biases permanently |
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Because they shouldn’t be eliminating all medical biases, some people might need it
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Medical theory
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| 8 |
What is one major ethical concern associated with generative AI in medical imaging?
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2. Data copying and patient reidentification |
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No one wants an ai to copy the patients identification to create a new one, now that’s concerning.
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Physics theory
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| 9 |
What regulatory precedent did the article cite for synthetic data technologies?
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2. FDA clearance of synthetic MRI as image-processing software |
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The FDA clearance of synthetic MRI as image- processing software
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Scientific theory
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| 10 |
What is the main purpose of the article?
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2. To compare and evaluate ASCVD risk prediction models in East Asia |
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Because it felt right
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Physics theory
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| 11 |
Why might Western-based risk prediction models overestimate ASCVD risk in East Asian populations?
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5. Data collection standards are weaker in Asia |
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In the country sides, some countries can’t really collect data’s like in the cities based on where they lived.
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Physics theory
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| 12 |
What is the key advantage of the China-PAR model compared to Western-based models?
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3. It excludes smoking from the risk calculation |
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China may use technology but in the western they probably use smoke.
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Physics theory
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| 13 |
Which of the following variables is not typically included in ASCVD risk prediction models discussed in the article?
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3. Serum cholesterol |
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It’s just fats in my normal human beings body
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Medical theory
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| 14 |
What is a major difference between the Suita Score and the Framingham Risk Score?
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1. Suita Score predicts lifetime risk instead of 10-year risk |
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| 15 |
According to the article, what is a potential benefit of developing East Asia–specific risk models?
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3. They improve accuracy and reduce overestimation of risk |
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It felt right
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Physics theory
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| 16 |
Which of the following models was originally developed for a Western population?
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2. China-PAR Model |
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Because the China probably helped ty be western
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Mathematical theory
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| 17 |
Which factor was highlighted as influencing ASCVD risk differences among East Asian countries?
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3. Use of identical clinical guidelines |
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| 18 |
What future direction does the article suggest for improving ASCVD risk prediction?
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2. Using multimodal AI-based prediction integrated with regional data |
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Because ai will be mod advance the time we grow more and more.
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Physics theory
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| 19 |
Which statement best explains the key difference in how VAEs, GANs, and DDPMs generate medical images according to the figure?
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3. DDPMs iteratively remove noise through reverse diffusion rather than using encoder–decoder or discriminator structures. |
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Medical theory
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| 20 |
Which of the following best explains the trend shown in Figure comparing age-standardized and crude CVD mortality rates among East Asian countries?
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2. Mongolia and North Korea demonstrate higher CVD mortality due to older population structures alone. |
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Because as you can see in this picture it says the answer to everything,
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Mathematical theory
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