Most of us can think of Facebook as the social network of choice Suburban moms And Conspirators, But does not hesitate to exit to become a company very more Compared to an app on our phone, even if that is the last thing we want. Here’s an example: Earlier today, Facebook excluded a company blog post Underlining his latest venture, this time in the wild world of medicine.
As the post points out, the company’s AI-Research wingFor a long time FAIR has spent the last two years quietly at NYU Langone Health Center with professionals to create what they call FastMRI: an algorithm that usually promises to cut people’s long-hell process is. Stepping into MRI machine. They just need some photos of your bones to do so.
Okay, not all your bones – at least not yet. The first round of research for the FastMRI program, at least as such, is particularly largely closed Open-source library From a photo of Ni-MRI that NYU offered to help with the project. By training a machine learning ego on these knees, the team was able to create an algorithm that can direct an accurate MRI image using a quarter of the data that is your typical MRI machine. Take in When putting together a crystal-clear image of your bones or brain or what you have. Or another way: because an algorithm is doing heavy lifting here, you get to spend less time being photographed trapped inside a strange, noisy metal tube.
You see, the main reason is that any session in an average MRI machine can be permanent Over an hour The way those machines boil down to work in the first place, which is… a little bit Complicated explain. In short: if a machine is taking a scan of a person’s head (or brain, as the case may be), this means applying super-strong magnetic force to a person’s head, allowing that head to receive a radio current. Shoot with, and then create a composite image based on God’s behavior — how many protons are in that person’s head once they have been subjected to those types of signals. As it turns out, the signals that these protons give may be off Very weak, Meaning that the entire gunk must be repeated over and over to form a crystal-clear composite.
Using AI to cut the time it takes to get that final image Not a new idea By any stretch, and I accept it for the first time seems like a great idea – until you remember that Facebook is one of the names behind this particular project. This is a company whose Crazy rate of growth Built on mass gathering our data, bundling that data and then sliding it like a third party Lead advertiser or federal agencies. And that doesn’t even include, y’know, all those massive The data Violations The company somehow keeps itself at the center.
And like Facebook’s ambitions as a platform, its data sources are also spreading rapidly: Facebook doesn’t know what we’re doing on our platform or on Instagram, it also knows What do we buy, Where we buy it, And nice, On For other items, thank you for your oodles of participation across a buffet of industries, including surprise –Big drug And medicine.
This year alone, Munch released a Noticeable push Getting into advertising dollars from major medical brands, and it’s done doing workThanks, we are independently in the pharma-data portion Dedication About online And if that part of our medical history is being used for targeting, then, well, Facebook can’t be prevented from doing the same with any other type of medical dataset, even that Also which is derived from our literal bones and organs. Typically, these types of details should be covered under the legislature like HIPAA, but as We have covered beforeThe lines between what can and cannot be monetized get like a blur based on data sourced from a doctor or a technology company. And in the case of something like FastMRI – or something else Truth of alphabet– We have found a partnership between public health and personalized technology, which means that HIPAA is not protecting these MRI-scans as much as we would expect.
Facebook undoubtedly saw some potential inconvenience before putting this blog post, as the company snuck in the middle in this small disclaimer:
(The FastMRI data used in the project, including the scans used for the study, are from open-source datasets created by NYU Langone in 2018. Before the data was open-source, NYU Langone ensured That all scans were de-identified, and not patient information, was available to reviewers or researchers working on the FastMRI project. No Facebook user data contributed to the creation of the FastRRI data set.)
Okay, so it seems that these bon-scans are not being used for tracking and targeting – at least, not yet – but the team’s own blog post makes it sound like the FastMRI project is just stranger’s photos Knees are not going to stop with. “Today’s clinical study is an important step, but there are many more advances to come. Subsequently, researchers from Facebook AI and NYU Langone want to demonstrate that FastMRI works only with other vital organs such as the brain.
Even if we are going to scrap the whole “my bones are being used against me” narrative, (which, I believe, is more speculative than I’d like), there’s still a ton of reason. You do not want this company anywhere near your medical data. It is a company that is repeatedly shown that it will put its profit margin before the safety of its users, no matter how much they try to pretend. Hell, on the same day that Facebook excluded this AI research, reports surfaced that the company is Still with evidence about Its role In 2017 in a wave of massacres in Myanmar. Here in the states, the company Constantly fought To take any action against antivax groups that are already the cause at least Death of a child. And, of course, there’s the whole purported Goat killing thing.
I’m not saying that Facebook’s medical research won’t really help anyone, but I’m saying that if FastMarty is being done by another company, then FastMRI is probably underrated.