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Cardiologist Says AI Is Shifting Power From Doctors to Patients

Cardiologist Afshine Emrani argues AI tools are moving medical diagnosis into patients' hands. He cites OpenAI's o3 diagnosing rare pediatric diseases in an NEJM-published study, a WashU blood-marker biological age calculator, and AI-enhanced CT angiography detecting inflamed arteries.

Original post · 4 min read
I'm a cardiologist. I've spent twenty years as the person patients trust to interpret their bodies. And I need to tell you something that most physicians won't say out loud:

AI is about to change the power dynamic between you and your doctor. Forever.

Four days ago, OpenAI's o3 model diagnosed 18 children with rare diseases that the best human specialists at Boston Children's Hospital couldn't solve — some after nearly twenty years of searching. Published in the New England Journal of Medicine.

Two weeks ago, WashU researchers proved that nine routine blood markers can calculate your biological age — and predict cancer risk years before any tumor forms. A free calculator. Available to anyone.

Last month, AI-enhanced coronary CT angiography detected inflamed arteries in patients whose standard stress tests said "normal." Patients who would have gone home reassured and wrong.
The pattern is unmistakable. The tools that used to require a specialist, a referral, a three-month wait, and a $400 copay are migrating into your phone, your bloodwork portal, and your own hands.

And I'm watching something in my practice I never expected.
Patients are walking in more informed than some of the residents I trained. They've run their PhenoAge score. They know their ApoB. They've read the study about Lp(a) before I've had time to bring it up. They come with questions so specific that the conversation starts at a level it took me years of training to reach.
This used to threaten physicians. It shouldn't. It should liberate us.
Because here's the truth about the old model: a 15-minute appointment where your doctor runs a basic metabolic panel, glances at the numbers, says "looks fine," and sends you home — that model was never good enough. It was just all we had. It missed 75% of future heart attacks. It caught cancer late. It told women with microvascular disease they had anxiety. It filed children with rare diseases as "unsolvable."

AI doesn't replace the physician. I've said this before and I mean it — the human moment, the clinical judgment, the hand on the shoulder when the diagnosis lands — that's irreplaceable.

But AI does something the old model never could: it gives you the ability to see inside your own biology with a depth and speed that was impossible a decade ago. To track your own numbers. To calculate your own biological age. To bring data to your doctor that elevates the conversation from "am I sick?" to "where exactly am I heading, and what do we do about it?"

The patient who walks in with their ApoB, their Lp(a), their hsCRP, their PhenoAge calculation, and a list of questions from the latest research — that patient doesn't threaten me.

That patient is the easiest person in my practice to keep alive.
Because they've already done the one thing most patients never do: they stopped waiting for permission to understand their own body.

I went into medicine because I wanted to help people live longer. What I've learned is that the patients who live longest are the ones who took ownership — not of my job, but of their own data, their own questions, and their own decisions.

The tools are here. The research is published. The calculators are free. The blood tests cost less than a dinner out.

You don't need to wait for your annual physical to find out what's happening inside you. You don't need permission to understand your own biology. And you don't need to accept "looks fine" from anyone — including me — when the science offers a deeper answer.

The revolution isn't coming. It's in your pocket. In your patient portal. In the published studies you can read yourself.

The only question left is whether you'll use it — or keep waiting for someone to tell you it's time.
Your body. Your data. Your life.

Take ownership. Your future self is counting on it.
♥ 2.9K · ⟲ 631 · 👁 774.9KView on X ↗

More in Science & Health

U.S. Government, Google and Meta Launch $1.8 Billion AI Biology Data Effort

U.S. Government, Google and Meta Launch $1.8 Billion AI Biology Data Effort▶

Molly O'Shea reports a $1.8 billion coalition including Biohub, the Department of Energy, NIH, Meta, Google DeepMind and Isomorphic Labs to build the largest open, AI-ready biological dataset to help models predict biology and treat disease.

Original post · 1 min read
BREAKING: The U.S. government, Google, Meta & Zuckerberg-backed @biohub are launching a $1.8B push to build the data layer for AI biology.

The goal is to create the largest open, AI-ready biological dataset ever assembled, giving models the data needed to better predict how biology works & ultimately help treat disease.

The coalition is massive:

› Biohub committed $500M
› DOE is investing $500M+ across measurement, modeling & compute
› NIH is bringing $500M+ of federally funded datasets & repositories
› Meta, Google DeepMind & @IsomorphicLabs are jointly investing another $300M

This is effectively an infrastructure buildout for AI biology.

Instead of just building bigger models, they’re attacking one of the biggest bottlenecks in biology AI today, generating standardized, high-quality biological data at massive scale & making it openly available to researchers.

$1.8B committed to turning biology into something AI can increasingly model, predict & engineer.
♥ 1.7K · ⟲ 255 · 👁 109.1KView on X ↗

FDA Clears First Human Age-Reversal Trial From Life Biosciences

FDA Clears First Human Age-Reversal Trial From Life Biosciences▶

Vaibhav Sisinty reports the FDA cleared the first human age-reversal trial, citing animal research on partial reprogramming and Life Biosciences' $80 million raise to pursue it, though the post's claims about mouse and monkey results are not independently verified.

Original post · 1 min read
This is insane 🔥

The FDA cleared the first human age-reversal trial

A Harvard professor proved you can reverse aging by 75% in 6 weeks in mice cured blindness, reversed Alzheimer's, MS, ALS, kidney and liver disease then confirmed it works in monkeys

Now humans are next. Life Biosciences raised $80M to make it happen

His words "The eye is just the beginning. We believe we can treat every tissue. A whole body reset"
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Evidence API Lets Users Search 100M Papers for Scientific Claims

Evidence API Lets Users Search 100M Papers for Scientific Claims▶

James Zou announces the Evidence API from Paperclip, which lets users search over 100 million papers to find evidence for and against a scientific claim in about a second. He cites coffee and diabetes risk as an example query.

Original post · 1 min read
What if,
for any scientific claim,
you can search 100M+ papers to find the strongest evidence for and against it
⚡️in 1 second?

That’s now possible with Evidence API! 🚀
paperclip.gxl.ai/evidence-api

For example, does drinking coffee reduce diabetes risk?
paperclip.gxl.aiPaperclipPaperclip — search, read, and analyze 11M+ biomedical papers, regulatory documents, clinical trials, and biological databases (UniProt, PDB, ChEMBL) from the co
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Phone-Free Trial Shows Gains in Attention and Depression Symptoms

Noah Smith shares a post by Brandon Luu, MD, reporting that two weeks without phone internet improved sustained attention by an effect size comparable to about ten years of aging and reduced depression symptoms more than the average antidepressant effect.

Original post · 1 min read
Putting down your phone is more effective than antidepressants
Brandon Luu, MD @BrandonLuuMD
After blocking phone internet for 2 weeks:

1) Sustained attention improved by an effect size comparable to ~10 years of aging

2) Depression symptoms improved more than the average antidepressant effect
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Randomized Trial Finds Plain Water Gargling Cuts Respiratory Infections

Randomized Trial Finds Plain Water Gargling Cuts Respiratory Infections

Brandon Luu, MD, highlights a randomized trial in which gargling with plain water three times daily reduced upper respiratory infections by about 36%. He describes it as one of the cheapest cold-prevention interventions.

Original post · 1 min read
One of the cheapest cold-prevention interventions I’ve seen:

Gargling with plain water 3x/day reduced upper respiratory infections by ~36% in a randomized trial.
♥ 4.9K · ⟲ 285 · 👁 521.5KView on X ↗

Anduril and Palmer Luckey Win Wildfire XPRIZE for Rapid Fire Detection

Palmer Luckey says Anduril won the Wildfire XPRIZE for detecting and suppressing a wildfire within 10 minutes of ignition. He argues that even small gains could save the U.S. roughly $500 billion a year lost to wildfires.

Original post · 1 min read
Thanks, Peter! This is the beginning of the end for destructive wildfires. In a country that loses ~$500B every year to wildfires, even tiny gains make for huge savings, to say nothing of the incalculable value of lives and homes.
Peter H. Diamandis, MD @PeterDiamandis
Congrats to @PalmerLuckey and Anduril for winning the Wildfire XPRIZE - for detecting and suppressing a wildfire within 10 minutes of ignition!
♥ 25.1K · ⟲ 1.7K · 👁 836.4KView on X ↗