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AI may spot deadly heart risk in a routine ECG

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AI may spot deadly heart risk in a routine ECG

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A routine heart test may be hiding a warning sign that doctors have missed for years. That is the big takeaway from new UC Berkeley research published in Nature. Researchers trained an artificial intelligence model to study ECGs, also called EKGs, and look for patterns tied to sudden cardiac death.

This is the scary part. Sudden cardiac arrest can strike people with known heart problems. However, it can also hit younger athletes and people who never knew they were at risk.

Each year, hundreds of thousands of Americans die after cardiac arrest. Once it happens outside a hospital, survival can drop fast. CPR and a defibrillator can save lives, but timing is everything.

Now, AI may help doctors spot some patients earlier, while their hearts still look normal by today’s common tests.

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DIABETES DRUG COULD SLASH RISK OF FATAL HEART CONDITION IN ONE GROUP, SCIENTISTS REVEAL

UC Berkeley researchers say artificial intelligence can detect hidden ECG patterns linked to sudden cardiac death that routine heart screenings may miss. (Photo by Quentin Top / Hans Lucas / AFP via Getty Images)

How AI found a hidden heart risk

An ECG records the electrical activity of your heart. It creates the familiar spikes and waves doctors review to check rhythm and other heart clues.

For this study, researchers used more than 440,000 ECGs from Sweden. They paired those scans with death certificates and health records. Then they trained the AI model to look for waveform patterns linked to sudden cardiac death.

After that, they tested the model on separate patient data from the U.S. and Taiwan. That step is important because medical AI often looks good in one dataset, then fails in the real world. Here, the model held up across very different health systems.

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Why today’s heart screening can miss people

Doctors often use a measurement called left ventricular ejection fraction, or LVEF, to judge risk. In plain terms, it shows how much blood the heart pushes out with each beat.

If that number falls below a certain threshold, a patient may qualify for an implantable defibrillator. That device can shock the heart back into rhythm during a dangerous event.

However, this method leaves big gaps. Many people who die suddenly never had that deeper heart evaluation. Others may have a heart that pumps normally but still be at risk for a dangerous rhythm problem.

The UC Berkeley model found a high-risk group with a 7% annual rate of sudden cardiac death. The standard reduced LVEF group had a 4.6% annual rate.

Even more striking, most patients flagged by the AI were missed by the LVEF method. In other words, a routine ECG may hold warning signs that current screening overlooks.

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AI found a hidden ECG warning sign

The researchers did more than ask AI for a risk score. They also tried to understand what the model saw. That is important because medical AI can become a black box if doctors get an answer with no clear reason behind it.

To dig deeper, the team used another AI system to compare low-risk and high-risk ECG patterns. Think of it as a way to see how a normal-looking heartbeat pattern could shift into a higher-risk one.

That comparison pointed to a visible feature in one part of the ECG called aVL. This is one of the standard views doctors use to read the heart’s electrical activity. The feature showed up in the QRS complex, the part of the ECG that reflects the heart’s main electrical signal during each beat.

Researchers say this signal strongly predicted sudden cardiac death. They also say it had not been previously described in medical literature. That raises a fascinating possibility. AI may help doctors make better predictions and spot warning signs humans have missed.

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A new AI model analyzed hundreds of thousands of ECGs and identified patients at higher risk of sudden cardiac death, even when standard heart tests appeared normal. (Photo by Andreas SOLARO / AFP via Getty Images)

Why this could change defibrillator decisions

An implantable defibrillator can save a life. Still, putting one in the wrong patient has risks. The procedure can be invasive and costly. Also, many devices placed under current rules never need to fire.

So doctors face a brutal challenge. Miss the patient who needs the device and the result can be deadly. Implant too many and patients face procedures they may never need.

This new AI tool could help narrow that gap. It may flag patients who need closer monitoring before doctors consider bigger steps.

The next phase is already underway. Researchers are working with health systems in Sweden, Taiwan and the U.S. to test the algorithm on hospital ECG databases.

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If the tool flags a scan as high risk, doctors could contact the patient. The patient may then wear a heart-monitoring patch. That could reveal more about the dangerous rhythm before it turns fatal.

The privacy question no one should ignore

There is another side to this story. Medical AI needs huge datasets to work well. Researchers said it took about a decade to compile the data used in this study. That tells you how hard serious clinical AI can be.

But it also raises a fair question. Who controls the data when your scan helps train a medical model? Hospitals, researchers and AI companies need clear guardrails. Patients should know how their health records get protected, shared and used.

Before sharing more health data, review health app permissions, logins and privacy settings. Health apps can hold sensitive information, so small privacy choices can have big consequences. Better prediction can save lives. However, trust will decide how quickly people accept these tools.

What this means to you

This AI tool is promising, but you cannot use it at home today. You cannot upload an ECG and get a personal risk score. Doctors are still testing it before it becomes part of routine care. Still, the idea is powerful. A routine heart test you may have already had could one day reveal a hidden risk that today’s screening might miss.

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For now, do not ignore warning signs. Fainting, unexplained dizziness, a racing heartbeat or a family history of sudden cardiac death should be discussed with a doctor. A normal checkup does not always mean every heart risk has been ruled out. If your doctor wants you to track blood pressure, compatible cuffs can sync readings with Apple Health. Wearables can also flag some heart-health clues, including possible hypertension alerts, but they do not replace a doctor.

Also, know what to do in an emergency. Learn CPR if you can. Look for AEDs at work, school, gyms and public places. When cardiac arrest happens, fast action can help save a life.

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Researchers say AI uncovered a previously unknown ECG warning sign that could help doctors identify dangerous heart rhythm disorders earlier. (Photo: Arne Dedert/dpa (Photo by Arne Dedert/picture alliance via Getty Images)

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Kurt’s key takeaways

This is the kind of AI breakthrough that grabs me because it starts with something so ordinary: a routine ECG. Many of us have had one. You lie back, a few stickers go on your chest and a machine prints out a wave pattern most people never think about again. Now, researchers say AI may be able to find a hidden warning sign in that pattern. That is powerful because sudden cardiac death often gives families no time to prepare and doctors no second chance. However, this tool still needs more testing before it becomes part of everyday care. Doctors need to know it works across more patients. Hospitals need a plan for what happens after an AI alert. Patients also deserve clear privacy protections when their medical scans help train these systems. Still, the idea is hard to ignore. A common heart test could someday help spot danger before a person collapses. That to me is hopeful, unsettling and exactly why this kind of medical AI deserves very close attention.

Would you want an AI system scanning your old medical tests for hidden health risks? Let us know by writing to us at CyberGuy.com

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Sonos Ace Ultra headphones could be on the horizon

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Sonos Ace Ultra headphones could be on the horizon

In addition to the S52A designation, one of the submitted documents shows an oval diagram — likely the ear cup — marked with the name Sonos Ace Ultra, although that name isn’t listed anywhere else. It follows the naming scheme Sonos has used in the past with its Arc and Arc Ultra soundbars. The documents also list color options we’ll likely see, which extend beyond the white and black of the Ace. The five colors named are “greige,” shadow black, agave, blush, and sand.

There’s also indication of testing for local networks over 2.4 and 5GHz bands. This could be just for the same TV swapping capability we saw on the Sonos Ace, or it could mean that these new headphones will support music streaming over Wi-Fi like Sonos’ speakers.

It’s been over two years since the Sonos Ace headphones were released, and that launch was overshadowed by the troublesome redesigned app rollout, which was likely pushed out early because the old app would not have supported the Ace. While the Sonos Ace were comfortable and stylish with good sound and ANC, they weren’t quite as good as comparatively priced headphones of the time like the Sony WH-1000XM5 or Sennheiser Momentum 4. And because of the app issues, the Sonos ecosystem integration was buggy.

But Sonos has come a long way and recovered from those woeful app relaunch days with some strong product releases, including the Arc Ultra soundbar and Play speaker. If Sonos takes the lessons learned from the original Ace — and we do indeed see new headphones in the coming weeks or months — they could signal the full return of Sonos.

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Shared VPN vs dedicated IP: Which one is right for you?

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Shared VPN vs dedicated IP: Which one is right for you?

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If you’ve started shopping for a VPN, you’ve probably come across the terms shared IP and dedicated IP. While they may sound technical, the difference is actually pretty straightforward, and choosing the right one can make your online experience smoother.

Both options encrypt your internet traffic and protect your connection, but they serve different purposes. One prioritizes maximum privacy by blending your activity with thousands of other users. The other gives you your own personal IP address, making it easier to access certain online services without additional verification.

Here’s what each option does, and how to decide which one is right for you.

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Shared and dedicated VPN IP addresses both encrypt internet traffic, but they offer different advantages for privacy, convenience and online logins. (Kurt “CyberGuy” Knutsson)

What is a shared VPN IP?

A shared IP is exactly what it sounds like: multiple VPN users connect through the same public IP address. When dozens, or even hundreds, of people are using the same IP at different times, it becomes much harder for websites or other observers to associate online activity with any one individual. That’s one reason shared IPs are the default choice for most VPN services.

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The trade-off is that shared IPs can sometimes trigger CAPTCHAs, blocked logins or extra verification if a website sees too much activity coming from the same address. That is one reason some people look for ways to fix a VPN that keeps getting blocked.

What is a dedicated VPN IP?

A dedicated IP is reserved exclusively for you. No one else using the VPN service shares that IP address. Because your IP remains consistent every time you connect, websites and online services recognize it as the same connection. That can make certain activities more convenient, especially if you regularly access accounts that use IP-based security checks.

For example, some businesses only allow employees to log in from approved IP addresses. Using a dedicated IP allows your company to “whitelist” this IP so that you can log in smoothly every time.

A dedicated IP can also reduce the number of verification requests you receive when signing in to banking websites, business software, or other accounts that flag unfamiliar locations. If you’ve ever been annoyed by a CAPTCHA (e.g., “which one of these photos is of a motorcycle?”) when trying to log in from a new location, you’ll appreciate the consistency of a dedicated IP address.

Some people might argue that letting your VPN provider assign you a dedicated IP inherently makes you less private. This is where your choice of VPN provider is important. A reputable VPN provider distributes IP addresses with a zero-knowledge allocation system, meaning not even the provider can trace it back to you.

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With this kind of dedicated IP, you still receive the privacy and encryption benefits of a VPN; the difference is simply that your VPN IP belongs only to you.

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Shared VPN IP addresses mix traffic from many users, while dedicated IP addresses stay assigned to one VPN customer. (Akos Stiller/Bloomberg via Getty Images)

Shared VPN vs. dedicated IP: Which one should you choose?

The answer depends on how you use the internet. A shared IP is usually the better option if your main goals are privacy, anonymous browsing, and protecting your data while traveling or using public Wi-Fi. Since many people are using the same address, your online activity is more difficult to distinguish from everyone else’s.

A dedicated IP makes sense if convenience is your priority. If you frequently work remotely, access company resources with IP restrictions, manage servers remotely, or want fewer login challenges from websites that recognize your connection, having your own VPN IP can save time. Neither option is inherently more secure than the other. Both encrypt your internet traffic and hide your original IP address from the websites you visit. The main difference is whether you want to share your VPN identity with other users or have one reserved just for yourself.

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Shared VPN vs. dedicated IP: Quick comparison

When deciding between the two, keep these guidelines in mind:

  • Choose a shared IP if privacy and more private browsing are your highest priorities.
  • Choose a dedicated IP if you regularly access accounts or services that expect a consistent IP address.
  • Both options encrypt your internet traffic and protect your data from local networks.
  • Most VPN users will be well served by a shared IP unless they have specific business or security needs.
  • If your needs change, top VPN providers allow you to add a dedicated IP while continuing to enjoy all of the core VPN protections.

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A shared VPN IP can provide greater anonymity, while a dedicated IP gives one user a consistent address for websites and online services. (Kurt “CyberGuy” Knutsson)

Choose a VPN built for speed and security

For this kind of VPN setup, look for strong privacy protections, fast speeds and the option to add a dedicated IP if your needs change.

A strong VPN should use modern encryption, follow a verified no-logs policy and include a kill switch that blocks internet traffic if the VPN connection drops. It should also work across iPhone, Android, Windows, Mac and compatible routers.

Look for a provider with servers in many countries, support for streaming and secure browsing, multiple simultaneous device connections and responsive customer support. A money-back guarantee can also give you time to test its speed, reliability and ease of use before committing.

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For the best VPN software, see my expert review of the best VPNs for browsing the web privately on your Windows, Mac, Android and iOS devices at CyberGuy.com.

Kurt’s key takeaways

Both shared and dedicated VPN IP addresses offer the core benefits people expect from a VPN: encrypted internet traffic, improved online privacy, and protection on public networks. The right choice comes down to how you use the internet. For most people, a shared IP provides the best balance of privacy and simplicity. If you need a consistent online identity for work, secure logins, or specialized services, a dedicated IP may be worth considering. Whichever option you choose, using a trusted VPN helps keep your internet activity more private and your connections more secure across your computers, smartphones, tablets, smart TVs, and other devices.

Would you rather use a shared VPN IP for more privacy or a dedicated IP for smoother logins? Let us know by writing to us at CyberGuy.com.

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Mark Zuckerberg doesn’t understand how to live

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Mark Zuckerberg doesn’t understand how to live

Recently, a man I was rock climbing with told me about how he’d used AI to make a motivational poster for himself, which he’d hung on his bedroom wall: a bear, walking a slackline over a canyon, holding a sign that said, “Do cool shit.” I made what I hoped was a polite noise. What reaction was this man looking for? He probably hoped someone, maybe me, would say it was cool or inspiring. It seemed I was not the first person he’d told about this poster. “You know, it’s funny,” he said to me. “No one ever says anything about it.”

I have been thinking about this now for several days. There’s a sort of turducken of things that I find off-putting all rolled into this anecdote: hippie shit, motivational posters, AI “art.” Still, the sum total of reactions to this poster appears to be polite noises.

But what is the correct answer to someone showing you their slop? No one made it. Even bad art — for instance, a version of that motivational poster drawn by a person — requires effort on the part of the artist, and expresses the artist’s mind, both in the content and in the motor skills required to draw lines on a page. It requires a person’s time and attention. AI “art” requires typing a prompt into a box, and maybe refining the results a couple times. There’s nothing to react to.

Zuckerberg is trying to be the soothing tech guru

I bring this up because Mark Zuckerberg has posted a manifesto that he — or his communications team, or possibly an AI — wrote. The point of this 6,500-word essay is to define a positive future for AI. It strikes me as an inauspicious sign for AI that a new, supposedly world-changing and value-creating technology should need such a defense, but AI has been getting bad press these days. People hate data centers, and the higher electricity bills that come with them. Anthropic CEO Dario Amodei has said the technology may cause “unusually painful” job losses across multiple industries. OpenAI CEO Sam Altman’s house was the target of, first, a Molotov cocktail, and then gunfire.

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“It is surprising that the discourse from many developing AI is so filled with doom,” the essay says. “I do not understand why anyone who believes that AI will eliminate most jobs and much of humanity’s relevance would rush to build that future.”

I find it difficult to believe that Zuckerberg doesn’t have Amodei’s phone number. Or Altman’s. I know he has Elon Musk’s — I’ve seen their texts in court. Perhaps he should have texted them to ask!

Anyway, Zuckerberg is trying to be the soothing tech guru, here to tell us that things are going to be okay. He’s addressing, however belatedly, the rage that many people feel about AI. There are sections on data centers (Meta is building power sources for some data centers in the future, but don’t ask for renewable energy) and “preventing government tyranny.” This essay exists to try to quiet the AI backlash — even if it never quite says that directly.

Love is not just a feeling; it is a way of paying attention

We will leave aside the question of “superintelligence,” which is Zuckerberg’s preferred term for what the rest of the industry calls “artificial general intelligence”; let’s stipulate, for the purposes of this essay, that it is indeed possible to create. I am also going to ignore the risible defense of the pervert glasses contained in this piece; they are indefensible. As for the risks, I think they are best addressed elsewhere. What I am interested in is what Zuckerberg — or whoever is writing for him — believes will improve all our lives.

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Here is his first pitch: “Everyone will have an exceptionally capable personal agent that understands you, your goals, and everything you care about. Your agent will work 24/7 on your behalf to improve your relationships, health, career, finances, home management, hobbies, and more.” I am struck, here, by the inclusion of “relationships” and “hobbies.”

What strengthens a relationship? Almost always, it is personal investment. Perhaps an AI agent might be better at predicting what my father will want for his birthday than I am, but it definitionally cannot give him my time and consideration. Love is not just a feeling; it is a way of paying attention.

Zuckerberg’s vision of maximizing productivity comes at the cost of my experience

Zuckerberg uses an example that is telling, in a grim kind of way: He asked an AI to pick out a “personalized” recipe to bake with his daughter. He could have considered what kind of baking his daughter enjoys, what her skill set is and what he might be able to teach her, then picked a recipe. Maybe he would have picked a bad recipe, and they would have bungled it — but that might have been a fun experience and a good story. Or maybe he would have picked a family recipe, and it would have given him the opportunity to tell her about when he was a child, or what his grandmother was like. Certainly he’s a busy man, but wouldn’t that make the gift of his attention to her hobby even more precious? Perhaps he might have come to understand her better by spending more time thinking about what she likes. Without that attention, the baking they do together seems more focused on accomplishment than quality time.

Relatedly, the point of a hobby is that you do it. Granted, many of my hobbies are physical activities — hiking, running, yoga, rock climbing (with guys who make bad AI art, apparently). But an AI cannot read a book for me, because the activity of reading a book is absorbing its words into my mind; a summary doesn’t do the same thing as the opening lines of Renata Adler’s Speedboat: “Nobody died that year. Nobody prospered. There were no births or marriages. Seventeen reverent satires were written — disrupting a cliché and, presumably, creating a genre.” The summary cannot summon the mood, nor the actual pleasure of reading the words themselves. An AI cannot replicate the soothing quality of knitting my own scarf; it is the knitting itself that soothes.

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Zuckerberg suggests that using an AI to assist me in these tasks will let me accomplish more, and that is probably the case. But I always thought the point of a hobby was to relax and enjoy myself. It’s certainly not to maximize productivity. And Zuckerberg’s vision of maximizing productivity comes at the cost of my experience.

This is the guy that had every resource anyone could wish for at his fingertips and his metaverse still flopped

The second thing Zuckerberg presents is “Everyone will have incredible tools for creation to express your ideas.” I would suggest that everyone already has incredible tools for creation to express their ideas, and that one need merely practice with those tools in order to get better at them. The pleasure of, say, learning to make a video is, first of all, making the video itself — who hasn’t had fun goofing around with friends while filming? But it is also getting better at the tools one uses to make the video, and looking back at one’s efforts as one’s directorial eye improves. Sure, this is time-consuming and requires effort — it can’t be done in a single evening — but isn’t that what makes it rewarding?

Similarly, Zuckerberg introduces the unimpressive notion that everyone gets “powerful tools to create new businesses.” This is the guy that had every resource anyone could wish for at his fingertips and his metaverse still flopped. Maybe more ideas can turn into businesses, but not every idea will be a successful business, and the sheer volume of competition may make it much harder to succeed. That is, assuming those powerful tools work as promised. After all, just recently, Meta announced that its AI had hacked another company, following similar incidents from OpenAI and Anthropic. Not only will your own personal company have to deal with such hackers, you may inadvertently engage in corporate espionage yourself. Is that really what every entrepreneur wants to sign up for?

Let’s move on to the next absurd idea the manifesto introduces: Everyone gets a “personalized tutor and coach with a PhD in every subject.” Again, for the sake of this essay, pretend that is possible. We have already tried computerized learning, in 2020, and if I recall correctly, it was a spectacular failure. People don’t like it. Kids don’t like it. Teachers are still coping with the fallout. And I hate to do another victory lap on behalf of Aristotle, but it sure seems like having a mentor (phronimos) is really important when it comes to learning, ethical or otherwise. The social part of learning — whether that’s the peer pressure of being in a class, or the need to impress someone you admire — seems indispensable to the experience.

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Everyone is equal in AI but some people (the ones with money) are more equal than others

The strongest thing that Zuckerberg suggests, in my view, is the notion that everyone can benefit from and contribute to scientific advances. Now, I benefited from the polio vaccine — among other scientific advances — at least in part because Jonas Salk chose to make it available to everyone without earning any money from it. But never mind that. I am curious about what it means to contribute to scientific advances in this sense.

Zuckerberg gives some vague handwaving about personalized therapies, which have long been a goal in medicine. Again, let’s assume AI can even do this. I notice, however, that personalization is possible only when doctors have enough time to actually listen to their patients. It also means that patients will need to have the means to pay for personalized medicine, whether through their insurance or otherwise. But this bit from the essay is vague enough that he may actually mean that AI will allow researchers to harvest samples from all of us and test things more quickly, which has its own haunting privacy implications, especially coming from Mark Zuckerberg.

For his final point, Zuckerberg outlines the current state of affairs: Everyone is equal in AI but some people (the ones with money) are more equal than others. The best models will remain paywalled, accessible only to the rich. But what if everyone had free access, he wonders. You mean like they do right now, Mark? How on earth does making the status quo permanent improve our lives?

Consider all this against Terence Tao’s narrower vision of what AI is for in mathematics. He asks us to imagine the following statement is true: “AI tools will, reasonably soon, become capable of performing a reasonable fraction of research-level mathematical tasks, with reasonable levels of success, quality, supervision, and cost.” Tao then stops and asks a crucial question: What are our goals?

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I am coming to believe we need a better quality of AI booster

It is the question that Zuckerberg’s vision of the future doesn’t ask. For each thing Zuckerberg outlines as a possibility, the presumed outcome is some kind of accomplishment. The possibility of pleasure, of experience, of self-knowledge or self-expression are missing from this vision.

In contrast, one of the possibilities Tao outlines for the field of mathematics — if an AI can simply solve mathematical problems at will — is that its goal is to help people understand and do math. This accomplishment is perhaps somewhat squishier than “solve a problem,” but only because it is more profound. It speaks to what we understand knowledge to be: not merely the collection of answers to questions, but the understanding of why those are the answers — a deeper way of connecting with the world and with ourselves. This sounds suspiciously like the humanities, doesn’t it?

Look, I am coming to believe we need a better quality of AI booster, because while I understand the Zuckerberg statement exists mostly to cheerlead Meta’s own AI investment, I have heard similar things coming from people who don’t have similar financial interests. Is the point of life merely to stockpile accomplishments? If that is what Silicon Valley believes, no wonder all the billionaires seem so unhappy all the time! They have traded experience for accomplishment, and cheated themselves out of their own lives in the process. They keep chasing more money and more power, because they think that will finally be enough — but as long as they do not experience things themselves, nothing will ever be enough.

What does it mean to live a good life?

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When I am reading a book, or listening to music, or watching a movie, I am not just consuming a resource. I am experiencing other people’s minds. Artists have signature styles not merely as branding exercises but because they are expressing something about how they view the world, what they think beauty is, and what they believe to be the point of art. In prose, word choices are a kind of thumbprint for a specific person. In music, phrasing is another. In visual art, brush or pen strokes. Part of the point of the encounter is the aesthetic vision; the quality of another person’s attention. Part of it is your own attention: Does the artist’s aesthetic speak to you? What have you learned about your own aesthetics from it? What does beauty mean to you? What is pleasure?

If AI can do all the things we are promised it will do — hardly a given, but stick with me — then we are left with a question: What does using it accomplish? If you do not have to pay attention or do work to meet your goal, does your goal mean anything at all? In some ways, that throws us back to some of the oldest and most profound questions our species has encountered: What does it mean to live a good life? How do we love others? What does it mean to love ourselves?

Which brings me back to my climbing buddy’s motivational poster. What is there to say about something he did not create? It expresses very little of him. It took only seconds and required no attention, devotion, or even thought. The main thing I took away was that he requires a reminder to do cool shit — which, at least in my view, hardly requires a reminder at all.

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