this post was submitted on 11 Oct 2023
115 points (98.3% liked)

News

23311 readers
3886 users here now

Welcome to the News community!

Rules:

1. Be civil


Attack the argument, not the person. No racism/sexism/bigotry. Good faith argumentation only. This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban. Do not respond to rule-breaking content; report it and move on.


2. All posts should contain a source (url) that is as reliable and unbiased as possible and must only contain one link.


Obvious right or left wing sources will be removed at the mods discretion. We have an actively updated blocklist, which you can see here: https://lemmy.world/post/2246130 if you feel like any website is missing, contact the mods. Supporting links can be added in comments or posted seperately but not to the post body.


3. No bots, spam or self-promotion.


Only approved bots, which follow the guidelines for bots set by the instance, are allowed.


4. Post titles should be the same as the article used as source.


Posts which titles don’t match the source won’t be removed, but the autoMod will notify you, and if your title misrepresents the original article, the post will be deleted. If the site changed their headline, the bot might still contact you, just ignore it, we won’t delete your post.


5. Only recent news is allowed.


Posts must be news from the most recent 30 days.


6. All posts must be news articles.


No opinion pieces, Listicles, editorials or celebrity gossip is allowed. All posts will be judged on a case-by-case basis.


7. No duplicate posts.


If a source you used was already posted by someone else, the autoMod will leave a message. Please remove your post if the autoMod is correct. If the post that matches your post is very old, we refer you to rule 5.


8. Misinformation is prohibited.


Misinformation / propaganda is strictly prohibited. Any comment or post containing or linking to misinformation will be removed. If you feel that your post has been removed in error, credible sources must be provided.


9. No link shorteners.


The auto mod will contact you if a link shortener is detected, please delete your post if they are right.


10. Don't copy entire article in your post body


For copyright reasons, you are not allowed to copy an entire article into your post body. This is an instance wide rule, that is strictly enforced in this community.

founded 1 year ago
MODERATORS
 

Traditional medical imaging works great for people with light skin but has trouble getting clear pictures from patients with darker skin. A Johns Hopkins University–led team found a way to deliver clear pictures of anyone's internal anatomy, no matter their skin tone.

In experiments the new imaging technique produced significantly sharper images for all people—and excelled with darker skin tones. It produced much clearer images of arteries running through the forearms of all participants, compared to standard imaging methods where it was nearly impossible to distinguish the arteries in darker-skinned individuals.

you are viewing a single comment's thread
view the rest of the comments
[–] PetDinosaurs@lemmy.world 4 points 1 year ago* (last edited 1 year ago)

Tldr: this specific issue is more physics than racism. Plus there's more!

I presume op knows this, but others may want to look up WEIRD as an acronym.

It's actually both simpler and more complex than that, and it's less of an underrepresentation issue. It's not that that isn't an issue. Repesentation is just less of the cause of the problem in this context than you think.

It's also very much not explicit discrimination. The people who do this type of work are overwhelmingly anti racist. There's also plenty of dark skinned people amongst them. Most engineers are white males and Asians. That's an issue as well, but for another time.

First of all, they don't mention that this only applies to optical imaging. CT, ultrasound, MR, PET, etc. are not affected by skin tone (that's an ultrasound in the image, btw).

There are representation issues in medical testing. Not just purely racial ones as well. For example, most psychological studies are done with white women of college age. That's because the only people they can get to participate in such studies are psychology students who are overwhelmingly white women. Then there's the issue that you can't really experiment on children at all. That's WEIRD.

These are all well known and studied issues. They just don't have easy solutions.

The problem here isn't mostly representation. It's physics.

In order to image someone optically, you need to reflect light (or have something that emits light). Dark skin absorbs more and reflects less light than light skin. That is the purpose of dark skin.

No matter what we do, or how hard we try, optical imaging will never work as well on dark skinned people as light skinned people.

There's way more issues, too.

You can't just collect people based on skin color. Medical testing is extremely sensitive and difficult. You can't pay people too much. You can't pay people too little. Like the psychology issue, there are plenty of studies that are conducted on strange populations.

My brain is in several publicly available databases and papers and such. I get rooked into it because colleagues need subjects when I was in grad school. These studies are full of two kinds of people, grad students in the sciences, professors, their children, and people for whom a trivial amount of money is worth their time. That's not a cross section, and it's not really solvable.

You're correct that, in principle, you could collect people on quantitative skin color metrics for optical imaging. Other issues need a more complex understanding of race.

Now what is race? People say it's a social construct, but that's not scientifically correct. Race is a collection of phenotypes that helped our ancestors survive. It can be quantified. At the very least, genetically.

That's scientific racism. That's what the Nazis did. Granted, it's being done for anti racist purposes, but still, it's ugly.

So, I want to conduct a study that's DEI. How do I know I have proper representation? The terms Asian, black, Latino, and white are so huge and diverse that they are useless for this purpose.

What do I do?

Anyway, I could go on, but I'll stop after one last thing. The FDA is considering making DEI mandatory. That won't really solve the problem, though.

Edit: typos