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What is the primary goal of the article according to its introduction?

It leverages the ability of neutral networks to identify hidden signal within seemingly healthy heartbeats that indicate the heart primed for an arrhythmia

Electrophopathological Substrate Thoery.This thoery suggests that before an arrhythmia ,manifests, the heart issue undergoes remodeling .These changes alter the conduct ion pathways,leaving footprints in the normal Sinus Rhythm that AI can detect

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How do generative AI models differ from traditional discriminative models in healthcare applications?

Because discriminative models Discriminative .These models learn the boundary between classes.

Based on conditional probability Probability. They are classifiers that learn the boundary between classes (e.g., distinguishing a tumor from healthy tissue).

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What is meant by the term “model as a dataset”?

Because If researchers want to share knowledge for others to develop further, they must submit raw data.

Based on a decentralized machine learning theory which states that “The data should be where it is. But the model should travel to find information” (Bring the model to the data, not the data to the model) After the training is completed. What is shared back is only Model Updates or Weights.

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Which statement correctly distinguishes physics-informed and statistical models?

The main difference lies in the soure of intelligence in data processing ex.Physics-based models it is like creating anAI with knowledge of law of nature in it.

1. Mechanistic Modeling The theory of mechanical modeling which uses differential equations (Differential Equations) to represent the actual phenomenon value. 2. Data-Driven Paradigms Data-driven theory, which states that statistical models see data as a "Black Box" and use mathematical functions to reduce errors (Loss Function) without referring to external rules.

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According to the article, what does the “image generation trilemma” describe?

This word is a basic problem that AI model developers create images.

Based on mode collapse theory and diffusion model

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What is the Human Turing Test used for in medical image synthesis?

Medical AI is a performance test of the image model

Turing test philosophy based on Alan Turing’s idea “if we can’t distinguish between machines and humans then machines have that level of intelligence “

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Which of the following is NOT mentioned as a potential benefit of synthetic data in healthcare?

This message is over the true becaue AI model create data from learning real data if the ral data have bias.The model often simulates those biases into newly created data as well.

The article from The Lacent Digital Health is a clear warning that synthetic data may create false sense of security if the researchers think it’s clean. Until neglecting the data.

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What is one major ethical concern associated with generative AI in medical imaging?

There’re hidden ethical issues such as data memorization

Model Ai ,especially Generative Modals are too efficient.

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What regulatory precedent did the article cite for synthetic data technologies?

The FDA's approval of software that creates synthetic MRI images (such as technology that creates various contrast images from a single scan) confirms that "algorithm-generated images" are quality and reliable enough to be used for actual diagnosis.

Based on the Benefit-Risk Determination principle in synthetic MRI approval, considering that the benefits of reducing scan time and reducing the risk of opaque injections are more valuable than technical risks.

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What is the main purpose of the article?

Most risk model are developed using data from the population from western countries that can below the true when applied to Asian because the difference between food, lifestyle and genetic.

External Validation Theory It is stated that the model created from one populationneeds to be tested with other populations before actually being used. To evaluate the Calibration value and Discrimination (the ability to distinguish people who are sick from people who are not sick).

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Which of the following models was originally developed for a Western population?

Framingham Risk Score - FRS is a classic tool developed from a long-term research project called Framingham Heart Study, which is important as follows: Sample population.The data used to create this model comes from the population in Framingham, Massachusetts, USA, which is almost all white Westerners, starting in 1948. The beginning of risk factors . It is the first research to indicate that high blood pressure, cholesterol, smoking and diabetes are the main factors of heart disease.

According to the principle of cohort-based epidemiological research, the results will be the highest accuracy with the population that is similar to the initial sample only.

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Why might Western-based risk prediction models overestimate ASCVD risk in East Asian populations?

Caused by basic epidemiological differences.

According to the principle of cohort-based epidemiologic Asians and Westerners have the same risk factors (such as high blood pressure or the same smoking), but the actual rate of disease in the East Asian population (especially ischemic heart disease) is significantly lower on average than that of people in the United States or Europe. al research, the results will be the highest accuracy with the population that is similar to the initial sample only.

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What is the key advantage of the China-PAR model compared to Western-based models?

Because specificity of the population.

Population-Specific Risk Function: Based on the epidemiological principle that "Risk factors have unequal weights in each race", the China-PAR model was created with mathematical equations that recalculate the weight of risk factors to suit the physiology of Chinese people.

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Which of the following variables is not typically included in ASCVD risk prediction models discussed in the article?

ASCVD standards often do not include genetic markers.

1.Cost-Effectiveness in Screening 2.Generalizability

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What is a major difference between the Suita Score and the Framingham Risk Score?

Target population is very important.causes FRS was developed from white people in US, which has high incidence of ischemic heart disease but when used to Japanese people,FBS often predicts the risk is too high because Japanese people have a lower rate of heart disease but a higher rate of stroke.

Epidemiological theory indicates that the same risk factors may cause unequal occurrence in each race (Ethnic-specific risk weights). Suita score is therefore an example of Local Validation to correct errors from the universal model.

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According to the article, what is a potential benefit of developing East Asia–specific risk models?

The development of risk assessment models specific to East Asians is very important clinically caused by Correcting Overestimation, Preventing Over-treatment and Capturing Regional Nuances.

Statistical theory states that a high-precision model must have both Discrimination (separate people with diseases from normal people) and Calibration (the predicted risk that matches the actual disease rate). The endemic model will do better because it uses the baseline value (Baseline Risk) of people in the area.

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Which factor was highlighted as influencing ASCVD risk differences among East Asian countries?

Although countries in East Asia have genetic similarities, Chapter 17 emphasizes that "risk levels" are not all equal due to external factors such as dietary Habits, lifestyle Variations and urbanization.

The theory of environmental health determinants states that the cultural environment and consumption behavior influence chronic diseases more than genetic factors alone.

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What future direction does the article suggest for improving ASCVD risk prediction?

The article points out that the "future of risk prediction" will go beyond the limits of traditional statistical equations using a more complex and comprehensive approach.

The theory of multi-data integration states that the analysis of different but related data will increase the accuracy (AUC/C-index) more than split analysis because AI can detect hidden "non-linear relationships".

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Which statement best explains the key difference in how VAEs, GANs, and DDPMs generate medical images according to the figure?

Because it works completely different from other models.

Based on Iterative process because DDPM does not create the image in one step like GAN or VAE, but will start with pure noise (Pure Noise) and gradually "remove" the noise little by little (Step-by-step) until it becomes a complete image.

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Which of the following best explains the trend shown in Figure comparing age-standardized and crude CVD mortality rates among East Asian countries?

Because If the Age-standardized rate is low, even though the elderly are very old, it means that the country's public health system and risk management (such as diet, blood pressure control) are excellent.

Based on Epidemiological Transition Mode and Global Burden of Disease (GBD) Data.