This is what machine learning is supposed to be. Specialized models that solve a specific problem. Refreshing to read about some real AI research
this post was submitted on 24 Aug 2025
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I feel like in an ideal world, people can be using AI to help the quality of their work. Rather than being replaced by AI itself.
Yeah, this is a typical place for AI to actually shine and we hear almost nothing about it because making fake porn videos of your daughter in law is somehow more important
Yeah, there are some useful applications for ML. Less so for LLMs.
Who is downvoting progress in Cancer identification?
Lemmings with knee-jerk reactions to anything AI related
Ohhh, this 100%
I just posted a plaque imaging study using AI analysis showing people eating the carnivore diet reversing plaque buildup by doing over a year of a strict ketogenic diet.
People I could have offended
- AI
- diet zealots
- anti-keto reactionaries
- CICO advocates
But instead I used a name without any of the trigger words and they missed it
We could rewrite this headline as:
Advanced identification techniques let doctors diagnose cancer earlier saving lives!
And someone immediately downvoted you
Yeah, lemmy can be very emotional!
Trying to keep a community on topic without that level of gut reaction is a sisyphean task https://discuss.online/modlog/696952?page=1&actionType=ModBanFromCommunity but i try anyway
13 of 20 bans for "Reason: Sockpuppet". looks like some good modding you do over there.
Thank you! Identifying sockpuppet accounts took some doing, but it has been really a fun adventure. Here is my moderation policy if you want the details https://hackertalks.com/post/13655318
Thank you for your organic downvotes!
Actually its 30 sockpuppet identifications so far.
Subscribed!
where is this study? i did a brief look through your post history but you post so much keto/carnivore stuff it’s hard to spot. it's easy to jump on the downvote persecution bandwagon without linking to it.
The original study: [Paper] - Plaque Begets Plaque, ApoB Does Not: Longitudinal Data From the KETO-CTA Trial - 2025
The update with new AI imaging: New KETO-CTA Data - Clarification and Update on Cleerly
These didn't really get downvoted because the trigger words were avoided, and the communities are actively pruned of disinterested people, if you are looking for downvote brigading I could dig up examples for you
I just posted a plaque imaging study using AI analysis showing people eating the carnivore diet reversing plaque buildup by doing over a year of a strict ketogenic diet.
where does it say that in the study you linked?
as far as i can tell it says Plaque progression occurred, just wasn’t linked to ApoB or LDL-C levels.
Right, so the paper using the cleerly model only showed one person reversing plaque, but the two new ai models which don't have a artificial floor, do show 30% plaque reversal. That's the second reference to the YouTube talk.
The interesting thing here, is this group of 100 people following a strict ketogenic diet, mostly carnivore, had imaging done at the beginning and the end of a year. So we can apply any models to it that we like, it's interesting that in 2/3 of the AI imaging models they show 30% of the people with plaque regression
The benefit of AI here is it makes it a quantitative analysis, assuming the AI model is stable. When we involve the humans to do scoring, there's always a question about consistency, and bias in the outcomes.
As far as I'm aware plaque regression is basically unheard of at all in any literature outside of case studies
are the ai models part of a peer reviewed update to the paper?
The paper hasn't been updated, the cleerly AI is part of the original paper.
The updated model data is presented in a preliminary form in the lecture, papers still pending.
What does Dave Feldman have to do with the study and how did he get these preliminary results?
he funded the study, organized it, sourced the volunteers, etc.
i see, the guy who is not a doctor but sells subscription services as “diet doctor” is continuing to fund the study until the results support his business.
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I was about to post a comment: Finally a use for AI that feels justified to spend energy on.
There was also a study going around claiming that llms caused cancer screenings by humans to decrease in accuracy. I'm not a scientist but I'm pretty sure the sample size was super small and localized in one hospital?
Anyway maybe they're remembering that in addition to the automatic AI hating down votes.
Not that I'm a fan of AI being shoved everywhere but this isn't that
Why would you use a large language model to examine a biopsy?
These should be specialized models trained off structured data sets, not the unbridled chaos of an LLM. They're both called "AI", but they're wildly different technologies.
It's like criticizing a doctor for relying on an air conditioner to keep samples cool when I fact they used a freezer, simply because the mechanism of refrigeration is similar.
But the title had "AI" in it.
Also to answer your question: https://lemvotes.org/post/programming.dev/post/36238264
A lot of people don’t realize that votes are public 🤓
After reading the actual published science paper referenced in the article, I would downvote the article because the title is clickbaity and does not reflect the conclusions of the paper. The title suggests that AI could replace pathologists, or that pathologists are inept. This is not the case. Better title would be "Pathologists use AI to determine if biopsied tissue samples contain markers for cancerous tissue that is outside the biopsied region."
RFK
Cancer causes autism
From the article: " All 232 men in the study were assessed as healthy when their biopsies were examined by pathologists. After less than two-and-a-half years, half of the men in the study had developed aggressive prostate cancer...."
HALF? I'd suggest staying away from that study ... either they don't know what they're doing, or some AI made up that article...
From the peer-reviewed paper: "This study examined if artificial intelligence (AI) could detect these morphological clues in benign biopsies from men with elevated prostate-specific antigen (PSA) levels to predict subsequent diagnosis of clinically significant PCa within 30 months".. so yes, these were men who all had high cancer risk.
OK, thanks for that clarification. I was thrown off by 'assessed as healthy...'
And the risk of prostate cancer from age 60 on is quite high and increases with age, even if you're not in a high risk group (other than age).
Maybe they specifically picked men with increased risk?
Half sounds pretty nuts otherwise.
ba dum tss
Yes they did. It says so in the article.
What's the false positive rate? You can dial up the sensitivity of any test if you don't mind 10,000 people having unnecessary cancer surgery for every real case that's detected.
this is bullshit.
the study was performed by Navinci Diagnostics, which has a vested interest in the use of technological diagnostic tools like AI.
the only way to truly identify cancer is through physical examination and tests. instead of wasting resources on AI we should improve early detection through improved efficiency of tests, allowing patients to regularly test more often and cheaper.
Won't this sort of technology help people get regular tests more oftenm
it won't because it's an illusion of a test with unverifiable results.
Imagine this, you want to know if you have cancer. you can get results from a biopsy, blood tests, and an MRI. all results are validated by specialist review. it will take 3 months to collect and validate the results. OR, you can run all your tests above and have results in 24 hours but they aren't validated by a specialist.
so the question is, why does it take 3 months and how can we make it shorter without decreasing quality, validity, or consistency?
AI is not the answer.
I thought the article was telling an unmarried woman that AI can find the cancer pathologists she's been looking for. Not sure why they would be hiding.
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I thought AI had trouble spelling Pennsylvania