| 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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Have many ai types and progress that better in their ways
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In the introduction
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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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It generate new image from the data given to look as similar as possible
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different as the way both type of ai works traditional work by changing the old data to old data while generative make new ata from old data
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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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model sharing a set of data to shorten their training time
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train by using the dataset parameters as the data instead of normal data
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| 4 |
Which statement correctly distinguishes physics-informed and statistical models?
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Statistical models are limited to MRI reconstruction |
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physics-informed give faster results but statistical give better quality
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physics informed find the data raw while statistical covert the data to somthing easier to understand then reverse the process
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| 5 |
According to the article, what does the “image generation trilemma” describe?
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Trade-offs among image diversity, quality, and speed |
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it a triangle graphs that show which ai models are good at somthing and bad at somthing
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look at the the information in the graphs and see each ai in between each corner of the triangle as the data
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| 6 |
What is the Human Turing Test used for in medical image synthesis?
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To assess realism of synthetic medical images by experts |
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this test is use to detct fake images from real ones using human
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using an expert to see if the picture is realistic or not to test ai generative capabilities
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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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Facilitating multi-centre collaborations |
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every choices given here is capale by ai except making massive collaborations that only human can do
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ai cant make collab because that requires many people and ai cant do that
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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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to avoid sensitive information but the dataset got ai making copies of similar images which will only increase the risk
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it is one of the most important to the reputation of the hospital
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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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as the models evole rapidly the quality is approved by the FDA and even expand to other region
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it evole too rapidly to not expand and make it better
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| 10 |
What is the main purpose of the article?
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To introduce new diagnostic imaging technologies |
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they make many type of ai models to use in medical imaging and test it
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it's the whole point of the article. it can be use in training and expand further
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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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it give exaggerated results for asain people
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chinese make a study on it and see the difference in results
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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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they have lower baseline for ASCVD which make the models don't understand since it was made by western peop,e which has have higher baseline incidence of ASCVD
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western and asain have very difference in their life style making the base risk already not the same
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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 includes both genetic and lifestyle factors |
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it is modified to fit the life style of chinese people to give more accurate result for chinese people
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it's a specific model made by china for chinese people
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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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Serum cholesterol |
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it says everything else except the serum
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the participants has to be natural for the base test results
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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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Suita Score was designed for a Japanese while Framingham Risk Score are made for western people
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asain have lower baseline incidence of ASCVD than western people so the reslt will be different on the models even when use on the same people
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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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the base model give inaccurate result for asain people
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asain people have lower baseline incidence of ASCVD
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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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asain and western live so differently the basehave lower baseline incidence of ASCVD are different
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base on the face that chinese has to make their model to get accurate results
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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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it is not generally accepted right now but some want it for their patient subgroup
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most are still using base models for testing
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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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their process have different method but give out the picture
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each model have different job to do like vae make the image and gans tell if it true or false ddpm just deconstruct the picture and reconstruct it to understand better
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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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Despite differences in age structures, Japan maintains low mortality rates in both measures, suggesting effective prevention and healthcare systems. |
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they have specific patern for them like CVD is always the highest in all countries
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the age standard is less detailed so it says less results while the crude give more diverse and accurate results
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