[tmabraham]

We think it could be useful for clinical research and maybe even diagnostics. For example, you could imagine a person with depression(or other neurological disorders) may have a different perception of the same image than a healthy person. Now with the much higher fidelity that both more powerful MRI machines and better generative AI tools can provide, this may now be a very promising direction for future research.

[2ap]

I work in pediatrics and am an academic investigating MRI of kids in various diseases. When I saw this work, I did wonder about us being better able to functionally map where things are going wrong in the pathways of neurodisability. I wondered if this would have applications in being able to do that - for example being able to say that someone could process the image. Do you think it could have this type of application? One thing which would be a deal breaker at the moment is the amount of time participants spend in the scanner. But if we wanted to (for example) see if a child could perceive simple objects, would that be doable do you think?