| 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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I answered this because the main goal of the article is the expand the topic of generative models in healthcare.
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The goal of the article is to explain the use of AI as a generative model to synthesis medical images for further use and development. It further explains the challenges such as privacy.
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| 2 |
How do generative AI models differ from traditional discriminative models in healthcare applications?
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Generative models produce new data rather than only classify or interpret |
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The article explains that generative model creates new datasets that aren't real but very similar to real images.
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The article explains to us that the generative AI is fed real datasets of real people and learns it. It then generates a new image that is extremely similar but not the same.
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| 3 |
What is meant by the term “model as a dataset”?
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Sharing trained model weights instead of raw data |
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It uses the trained models to create the data
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It uses the generated data as a dataset to teach the AI further and not have to use raw data.
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| 4 |
Which statement correctly distinguishes physics-informed and statistical models?
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Physics-informed models incorporate biological or physical principles |
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The answer is most accurate, the is true that physics models incorporate biology an known knowledge.
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The statistical model is reliant on patterns they learn directly from example data. They use VAE,GAN, and DDPM to expand their knowledge. This is slower but more accurate. The physics model however uses known scientific model or real biological rules to answer.
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| 5 |
According to the article, what does the “image generation trilemma” describe?
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Choosing between AI models and radiologists |
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It incorporates tri which is three and dilemma into the word this means it is a problem solving between 3 things.
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The is a problem that the model faces. They must balance speed, diversity, and the quality. The researchers must choose the model based on what they need because it trade-offs/to make unequal what is mostly used.
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| 6 |
What is the Human Turing Test used for in medical image synthesis?
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To verify data anonymization |
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It is the most accurate to the name. It uses the word human so I believe that it is about identity.
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The human turing test is researchers testing the data that was generated to see if it matches any of the real data that can be linked to real data by patients who want to stay anonymous.
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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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Eliminating all medical biases permanently |
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Eliminating "All" would be too much. It is always still needed and removing it all would slow down work.
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All the other answers are reasonable but eliminating all medical biases would be useless. We will still always rely or at least use medical biases to test further data.
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| 8 |
What is one major ethical concern associated with generative AI in medical imaging?
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Data copying and patient reidentification |
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All of these answers are ethical concerns but one is the most accurate which is data copying and patient reidentification. All the other answer could be solved easily but the one chosen is the hardest.
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The major ethical concern is data copying and patient reidentification. It will become a big problem if the data generated by the AI is real and matches one of a real patient, especially if they want to be private or are important.
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| 9 |
What regulatory precedent did the article cite for synthetic data technologies?
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FDA clearance of synthetic MRI as image-processing software |
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All the other answers may be false or unsure
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The FDA has started to allow the use of synthetic MRI and Image Processing Software. This changes everything since it makes the process more efficient and less time consuming. This lets it so we don't need to use real patient database.
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| 10 |
What is the main purpose of the article?
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To analyze the economic burden of cardiovascular disease |
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Theres 2 of the same answer. The answer might have been to create a universal ASCVD for Eastern Asian countries.
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The article explains that most ASCVD risk calculators are developed in the States. This makes it very inaccurate when used with other race groups. The main purpose is to show how scientist are trying to create a more accurate one that can be used in all subgroups of east asians.
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| 11 |
Which of the following models was originally developed for a Western population?
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Framingham Risk Score |
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All the other answers already give the correct answer. Most of the names have asian countries in it which already rules them out.
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The Framingham Risk score is the only Western Model here. It was developed for the western population. It is inaccurate when used with Asian populations.
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| 12 |
Why might Western-based risk prediction models overestimate ASCVD risk in East Asian populations?
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East Asians have lower baseline incidence of ASCVD |
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East Asians don't live the same life as Western Populations. They also don't have higher cholesterol levels.
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The answer is the one I have chosen because East Asians suffer more from CHD and strokes. They have a lower ASCVD level then Western citizens.
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| 13 |
What is the key advantage of the China-PAR model compared to Western-based models?
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It was calibrated using national data representing diverse regions in China |
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They use diverse data from their nation. It does include Smoking and more.
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It is better than the western models because they calibrate is using diverse data. This makes it more accurate and better however, it still lacks external validation.
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| 14 |
Which of the following variables is not typically included in ASCVD risk prediction models discussed in the article?
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Genetic ancestry markers |
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All the others are openly mentioned to being used.
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Genetic Ancestry Markers are not mentioned in the article. Maybe because they are too inaccurate or too hard to obtain.
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| 15 |
What is a major difference between the Suita Score and the Framingham Risk Score?
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Suita Score was designed for a Japanese population using local epidemiological data |
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They are designed for different groups which make them very different to each other.
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The suita was made specifically for Japanese citizens which accounts for their problems and lifestyles. The Frammingham was made for the western population.
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| 16 |
According to the article, what is a potential benefit of developing East Asia–specific risk models?
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They improve accuracy and reduce overestimation of risk |
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They are more accurate and the other answers seem inaccurate.
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They account for their subgroups and use all the data they can by measuring their whole nation. They also account for more statistics like smoking or lifestyle choices.
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| 17 |
Which factor was highlighted as influencing ASCVD risk differences among East Asian countries?
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Cultural and dietary variations, such as salt intake and lifestyle |
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The factors are the overall choices which include most everyday things.
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These things influence the the risk because it is daily lifestyle decisions. This means we do it more often and therefore influences us more.
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| 18 |
What future direction does the article suggest for improving ASCVD risk prediction?
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Using multimodal AI-based prediction integrated with regional data |
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All the other answers are wrong and can cause more problems to occur and waster more time such as replacing doctors.
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The main way they are trying to solve this problem to to actually use the same risk model. They are going to break up the population in to more subgroups and use the characteristics of the subgroups to make it the most accurate.
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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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DDPMs iteratively remove noise through reverse diffusion rather than using encoder–decoder or discriminator structures. |
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This answer is the most accurate compared to the other answers. Yes, some of the others ones are true but still have some faults in them.
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DDPM works by adding noise the the picture first. It then continues by learning how to reverse the process just like the answer given. It then learns this and gets more efficient over time.
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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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Mongolia and North Korea does have the highest mortality rates.
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They have a higher mortality rate and is more accurate because of the older population structures alone.
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