31–40 of 159 posts
"The lower-power machine was much cheaper to manufacture and operate, more comfortable and less noisy for patients, and the final images after computational processing were as clear and detailed as those obtained by the high-power devices currently used in the clinical setting."
But some people actually like to have something that works.
A few months ago there were articles going around about how Samsung galaxy phones were upscaling images of the Moon using AI [0]. Essentially, the model was artificially adding landmarks and details based on its training set when the real image quality was too poor to make out details. Needless to say, AI upscaling as described in this article would be a nightmare for radiologists. 90% of radiology is confirming the…
The Samsung phone wasn’t a technological advancement, it was sheer fraud. A camera is supposed to take pictures of what it sees. Imagine going to a restaurant, ordering French onion soup, and getting a bowl of brown food coloring in water.
Welcome to England!
This is remarkable. 1800W is like a fancy blender, amazing to be able to do a useful MRI at that power. For anyone who is unaware, a standard MRI machine is about 1.5T (so 30x the magnetic strength) and uses 25kW+. For special purposes you may see machines up to 7T, you can imagine how much power they need and how sensitive the equipment is. Lowering the barriers to access to MRIs would have a massive impact on effec…
Something like this low power MRI could be a key part of enabling a transformation of cancer treatment.
A few months ago there were articles going around about how Samsung galaxy phones were upscaling images of the Moon using AI [0]. Essentially, the model was artificially adding landmarks and details based on its training set when the real image quality was too poor to make out details. Needless to say, AI upscaling as described in this article would be a nightmare for radiologists. 90% of radiology is confirming the…
The Samsung phone wasn’t a technological advancement, it was sheer fraud. A camera is supposed to take pictures of what it sees. Imagine going to a restaurant, ordering French onion soup, and getting a bowl of brown food coloring in water.
> We conducted imaging on healthy volunteers, capturing brain, spine, abdomen, lung, musculoskeletal, and cardiac images. Deep learning signal prediction effectively eliminated EMI signals, enabling clear imaging without shielding. So essentially, the neural net was trained to what a healthy MRI looks like and would, when exposed to abnormal structures, correct them away as EMI noise leading to wrong diagnostics? I w…
A few months ago there were articles going around about how Samsung galaxy phones were upscaling images of the Moon using AI [0]. Essentially, the model was artificially adding landmarks and details based on its training set when the real image quality was too poor to make out details. Needless to say, AI upscaling as described in this article would be a nightmare for radiologists. 90% of radiology is confirming the…
The Samsung phone wasn’t a technological advancement, it was sheer fraud. A camera is supposed to take pictures of what it sees. Imagine going to a restaurant, ordering French onion soup, and getting a bowl of brown food coloring in water.
Feels like that’s just a matter of expectations.
A phone used to be a device for voice communications. It’s right there in the Greek etymology, “phonē” for sound. But 95% of what people do today on devices called phones is something else than voice.
Similarly, if people start using cameras more to produce images of things they want rather than what exists in front of the lens, then that’s eventually what a camera will mean. Snapchat thinks of themselves as a camera company, but the images captured within their apps are increasingly synthesized.
(The etymology of “camera” already points to a journey of transformation. A photographic camera isn’t a literal room, as the camera obscura once was.)
A few months ago there were articles going around about how Samsung galaxy phones were upscaling images of the Moon using AI [0]. Essentially, the model was artificially adding landmarks and details based on its training set when the real image quality was too poor to make out details. Needless to say, AI upscaling as described in this article would be a nightmare for radiologists. 90% of radiology is confirming the…
The Samsung phone wasn’t a technological advancement, it was sheer fraud. A camera is supposed to take pictures of what it sees. Imagine going to a restaurant, ordering French onion soup, and getting a bowl of brown food coloring in water.
I can’t access the full paper, but from the abstract, is it accurate that they’re using ML techniques to synthesize higher-quality and higher-resolution imagery, and that’s the basis for their claim that it’s comparable to the output of a conventional MRI scan? Do clinicians really prefer that the computer make normative guesses to “clean up” the scan, versus working with the imagery reflecting the actual measurement…
A core part of processing MRI is the compressed sensing algorithm .
Earlier quoted context omitted.
The Samsung phone wasn’t a technological advancement, it was sheer fraud. A camera is supposed to take pictures of what it sees. Imagine going to a restaurant, ordering French onion soup, and getting a bowl of brown food coloring in water.
> “A camera is supposed to take pictures of what it sees.” Feels like that’s just a matter of expectations. A phone used to be a device for voice communications. It’s right there in the Greek etymology, “phonē” for sound. But 95% of what people do today on devices called phones is something else than voice. Similarly, if people start using cameras more to produce images of things they want rather than what exists in…