| 1 |
What is the primary goal of the article according to its introduction?
|
|
|
choice c is the clearest answer without the article
|
Wikipedia
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 2 |
How do generative AI models differ from traditional discriminative models in healthcare applications?
|
2. Generative models produce new data rather than only classify or interpret |
|
Genertive ai models are design to learn the entire data. And the main job is to create new content that looks real but it is based on what they've learn in healthcare it can create a fake patient data for doctors to practice and invent new cures and medicine. By the way Discriminative modles are design to focused on making desitions and sorting things in to catagories but they do not create new data. In healthcare, they scan and tells the doctor that this patient has this virus or not.
|
Generative models : P(x,y)
Discriminative models : P(x/y)
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 3 |
What is meant by the term “model as a dataset”?
|
3. Sharing trained model weights instead of raw data |
|
The term "model as a dataset " means sharing a trained model's weights instead of the original raw data it was trained on. This allows the weights to represent the data distribution.
|
The method serves as a privacy preserving technique where the model itself acts as the data sorce for others.
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 4 |
Which statement correctly distinguishes physics-informed and statistical models?
|
3. Physics-informed models incorporate biological or physical principles |
|
Physics based models rely on the physical understanding of the problem, subsequent mathematical formulation and numerical approximation.
|
cornell university arxiv.org
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 5 |
According to the article, what does the “image generation trilemma” describe?
|
2. Trade-offs among image diversity, quality, and speed |
|
The image generation trillemma describes the fundamental trade offs among image diversity,quality and speed
|
sciencedirect.com , the lancet
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 6 |
What is the Human Turing Test used for in medical image synthesis?
|
2. To assess realism of synthetic medical images by experts |
|
The test helps evaluate the perceptual quality and realism of the generated images, which is critical for ensuring that synthetic data is reliable enough foer training deep learning models or for other clinical applications.
|
National institutes of health, sciencedirect
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 7 |
Which of the following is NOT mentioned as a potential benefit of synthetic data in healthcare?
|
4. Eliminating all medical biases permanently |
|
Synthetic data generation offers numerous benefits in healthcare, but permanmently and completely eliminating all medical biasses is not a potential benefit ; rather, bias mitigation is ongoing challenge.
|
Meegle, VAIA , Invene
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 8 |
What is one major ethical concern associated with generative AI in medical imaging?
|
2. Data copying and patient reidentification |
|
Data copying and Patient Reidentification is one major ethical concern associated with generative ai in medical imaging. This is because generative models, which require vast amounts of data for training, can inadvertently memorize and reproduce sensitive or personally identifiable patient information from their datasets.
|
OECD AI policy Observatory
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 9 |
What regulatory precedent did the article cite for synthetic data technologies?
|
2. FDA clearance of synthetic MRI as image-processing software |
|
The artical cited the FDA's clearance of synthetic MIR as image processing software as a precedent for synthetic data thechnologies.
|
frontiers
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 10 |
What is the main purpose of the article?
|
2. To compare and evaluate ASCVD risk prediction models in East Asia |
|
The artical likely compares existing cardiovascular disease risk modles to assess their performance in asian populations, acommon topic in this field to study.
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 11 |
Why might Western-based risk prediction models overestimate ASCVD risk in East Asian populations?
|
2. East Asians have lower baseline incidence of ASCVD |
|
Western models overestimaterisk because they assume a higher baseline incidence of ASCVD events present in Western populations. When applied to east asians with a naturally lower incidence, the model's predictions are inflated .
|
Researchgate
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 12 |
What is the key advantage of the China-PAR model compared to Western-based models?
|
4. It was calibrated using national data representing diverse regions in China |
|
THhe chinaPAR model's key adventage is its calibration using national data specific to diverse Chinesepopulations which allows for a more accurate risk prediction within china compared to Western models primarily bassed o white populations.
|
Ntional intitutes of health
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 13 |
Which of the following variables is not typically included in ASCVD risk prediction models discussed in the article?
|
4. Genetic ancestry markers |
|
Genetics ancestryis typically excludedfrom traditional ASCVD risk prediction models. These foundational models focused on standard clinical data points like age, blood pressure and cholesterol to etimate risk.
|
National Institutes of health , Dr Oracle
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 14 |
What is a major difference between the Suita Score and the Framingham Risk Score?
|
2. Suita Score was designed for a Japanese population using local epidemiological data |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 15 |
According to the article, what is a potential benefit of developing East Asia–specific risk models?
|
3. They improve accuracy and reduce overestimation of risk |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 16 |
Which of the following models was originally developed for a Western population?
|
1. Framingham Risk Score |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 17 |
Which factor was highlighted as influencing ASCVD risk differences among East Asian countries?
|
2. Cultural and dietary variations, such as salt intake and lifestyle |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 18 |
What future direction does the article suggest for improving ASCVD risk prediction?
|
2. Using multimodal AI-based prediction integrated with regional data |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 19 |
Which statement best explains the key difference in how VAEs, GANs, and DDPMs generate medical images according to the figure?
|
3. DDPMs iteratively remove noise through reverse diffusion rather than using encoder–decoder or discriminator structures. |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 20 |
Which of the following best explains the trend shown in Figure comparing age-standardized and crude CVD mortality rates among East Asian countries?
|
3. Despite differences in age structures, Japan maintains low mortality rates in both measures, suggesting effective prevention and healthcare systems. |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|