Midjourney Medical Ultrasonic CT does have the potential to become an AlphaFold like project. I think the main reason the project wasn’t started earlier by someone else is that it costs a lot of capital to develop and not so much that the foundation wasn’t there.
There’s probably a product that uses any smartphone camera to estimate the 3D surface of a person and produce a better metric for being overweight than BMI.
There’s probably a product that using brainwave information to draw new inferences.
I found the ACX post on the Midjourney Scanner helpful. My takeaway was that there are limitations to resolution and coverage of ultrasound tomography (for example, ultrasound can’t penetrate bone and struggles with cranial imaging). With large scale and their expertise, Midjourney may be able to squeeze more out of the data. I agree that it’s AlphaFold-like: the data is observational and any model needs to learn or approximate the mechanisms behind how it’s generated.
Ultrasound is quite noisy 4D data. I don’t think there’s a good reason to assume that what an AI can do with it is limited by what kind of conclusions humans that look at ultrasound tomography.
The ACX post treats it like the goal is to do what an fMRI does. This misses the potential of having technology that can answer questions about the causes of pain that your fMRI does not answer (or at least does not answer till someone invest the money into building good AI for it).
Midjourney Medical Ultrasonic CT does have the potential to become an AlphaFold like project. I think the main reason the project wasn’t started earlier by someone else is that it costs a lot of capital to develop and not so much that the foundation wasn’t there.
There’s probably a product that uses any smartphone camera to estimate the 3D surface of a person and produce a better metric for being overweight than BMI.
There’s probably a product that using brainwave information to draw new inferences.
I found the ACX post on the Midjourney Scanner helpful. My takeaway was that there are limitations to resolution and coverage of ultrasound tomography (for example, ultrasound can’t penetrate bone and struggles with cranial imaging). With large scale and their expertise, Midjourney may be able to squeeze more out of the data. I agree that it’s AlphaFold-like: the data is observational and any model needs to learn or approximate the mechanisms behind how it’s generated.
Ultrasound is quite noisy 4D data. I don’t think there’s a good reason to assume that what an AI can do with it is limited by what kind of conclusions humans that look at ultrasound tomography.
The ACX post treats it like the goal is to do what an fMRI does. This misses the potential of having technology that can answer questions about the causes of pain that your fMRI does not answer (or at least does not answer till someone invest the money into building good AI for it).