Thank you for participating in our survey. We recently proposed a novel realistic rendering technique for biomedical volumes, aiming to achieve realism by simulating real properties of light. However, the current method is slow and lacks real-time interaction capabilities. In an effort to address these limitations, we are exploring the application of an AI model to enhance the rendering technique's speed and image quality. Your feedback is crucial in helping us understand the impact of this AI enhancement on your experience with our rendering technique.

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* 1. Please indicate your professional area.

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* 2. Please select your professional profile.

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* 3. Please indicate how many years of experience you have in your field.

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* 4. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 5. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 6. On the left, you can see the image generated from Cone-Beam Computed Tomography (CBCT) acquisition of a human foot. Its generation took about 2 minutes ('Reference'). In the middle, there is the image generated from the same data, but in 500 milliseconds ('No AI'). On the right, there is the image generated in 670 ms by AI ('AI'). Which image would you prefer to see when interacting with the data: 'No AI' image or 'AI' image?

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* 7. Do you think this video gives you an adequate preview of the dataset?

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* 8. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 9. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 10. Do you think this video gives you an adequate preview of the dataset?

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* 11. Do you think this video gives you an adequate preview of the dataset?

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* 12. Do you think this video gives you an adequate preview of the dataset?

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* 13. Do you think this video gives you an adequate preview of the dataset?

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* 14. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 15. On the left, you can see the image generated from Cone-Beam Computed Tomography (CBCT) acquisition of a human foot. Its generation took about 2 minutes ('Reference'). In the middle, there is the image generated from the same data, but in 50 milliseconds ('No AI'). On the right, there is the image generated in 230 ms by AI ('AI'). Which image would you prefer to see when interacting with the data: 'No AI' image or 'AI' image?

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* 16. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 17. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 18. Do you think this video gives you an adequate preview of the dataset?

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* 19. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 20. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 21. Do you think this video gives you an adequate preview of the dataset?

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* 22. On the left, you can see the image generated from Cone-Beam Computed Tomography (CBCT) acquisition of a human skull. Its generation took about 4 minutes ('Reference'). In the middle, there is the image generated from the same data, but in 150 milliseconds ('No AI'). On the right, there is the image generated in 320 ms by AI ('AI'). Which image would you prefer to see when interacting with the data: 'No AI' image or 'AI' image?

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* 23. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 24. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 25. How confident are you in the accuracy of image denoised by AI ('AI')?

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* 26. Do you think this video gives you an adequate preview of the dataset?

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* 27. On the left, you can see the image generated from Cone-Beam Computed Tomography (CBCT) acquisition of a human skull. Its generation took about 4 minutes ('Reference'). In the middle, there is the image generated from the same data, but in 1.5 seconds ('No AI'). On the right, there is the image generated in 1670 ms by AI ('AI'). Which image would you prefer to see when interacting with the data: 'No AI' image or 'AI' image?

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* 28. On the left, you can see the image generated from Cone-Beam Computed Tomography (CBCT) acquisition of a dog torso. Its generation took about 2 minutes ('Reference'). In the middle, there is the image generated from the same data, but in 500 milliseconds ('No AI'). On the right, there is the image generated in 670 ms by AI ('AI'). Which image would you prefer to see when interacting with the data: 'No AI' image or 'AI' image?

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* 29. Do you think this video gives you an adequate preview of the dataset?

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* 30. 1. On the left, you can see the image generated from Cone-Beam Computed Tomography (CBCT) acquisition of a dog torso. Its generation took about 2 minutes ('Reference'). In the middle, there is the image generated from the same data, but in 50 milliseconds ('No AI'). On the right, there is the image generated in 230 ms by AI ('AI'). Which image would you prefer to see when interacting with the data: 'No AI' image or 'AI' image?

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* 31. Would you like to participate in similar surveys in the future?

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