Cell phone next to a report

A team of Russian scientists created an AI-based algorithm that can estimate your expected lifespan more accurately than past models. The algorithm draws on activity tracking from smartphones and smartwatches to monitor your health. But it’s not a catch all. The people who created it say it can’t take into account things like genes, diet, and various other factors, so it should always be coupled with your doctor’s perspective.

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Doctor wearing a stethescope

When dealing with a long-term ailment, like asthma, it means a lot of trips to the doctor. But what if you could reduce those trips by enabling yourself to monitor your symptoms or your child’s symptoms from home? That’s what this wireless stethoscope, StethoMe, aims to do. It monitors heartbeat, body temperature, and lung sounds. If it finds something unusual as it compares those numbers against its repository of information, then it will ping your family doctor. The creators are currently looking for funding to commercialize the tool.

What are the implications? It reports respiratory issues to your doctor faster and saves you time and potentially money by reducing the number of your visits to the doctor.

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It’s easy for lung doctors to find larger nodules that are developing into cancer, but often when discovered, those cancerous nodules have advanced too far and the doctors can’t save the patients’ lives. Now there’s an AI that can help doctors identify smaller cancerous nodules earlier. The earlier the detection, the higher the likelihood of patient survival.
What are the implications? Not only does this identify the cancerous nodules earlier and increase life expectancy, but it also saves doctors up to four and a half hours a day in analyzing scans—time that can be used to research cancer treatments and to better treat and communicate with patients.

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Lots of us at one point or another experience an unusual heartbeat. One second your heart is happily, quietly, and regularly lubb-dupping away (I promise I didn’t make lubb-dupp up), and the next second, it’s bizarrely off. If this irregular heartbeat bothers you enough, you’ll go get it checked out, and your doctor will likely send you home with a Holter heart monitor to wear for 24 hours—but then, of course, your heart does absolutely nothing out of the ordinary in those 24 hours, and your doctor tells you that you’re probably just fine.

But what if you could wear something that would monitor your heart all the time and also identify when something’s off? This AI tech, which is now FDA approved, does just that. It collects your data and identifies when a heartbeat is unusual for whatever activity you’re doing. It can read your heart rate every five seconds, 24/7, if need be. So when your heartbeat doesn’t make sense, it tells you to take an EKG immediately through your device. Also, on a similar front, researchers led by Andrew Ng are adjusting an AI so it can speed up and improve irregular-heartbeat diagnoses. All of this to better learn what your heart’s rhythm is telling you.

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On an emergency call, it can be really hard to tell if someone is describing the cardiac arrest of a friend or relative. They’re often panicked and have a hard time describing what’s going on. In these situations, time is of the essence. For every minute that passes, the likelihood of victim survival drops. That’s why there’s an AI helping Denmark’s emergency call operators to better identify cardiac arrests. When this AI identifies the signs of cardiac arrest, it pops a flag up on their screen. These well-trained emergency responders identify cardiac arrest 73 percent of the time, while this AI was found to identify cardiac arrest 95% of the time.

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Your birthday comes around reliably every year, same day. It tells you how “old” you are, but it doesn’t tell you how biologically old you are. There’s a difference in geroscience. Your birthday may numerically bump you up every year, but if you’re, say, really fit, your biological age may be lower than your traditional age. Essentially, your body isn’t deteriorating as quickly as other peoples’ born the same year as you.

There are several different biomarkers that may indicate your biological age, and scientists are using them to develop biological aging clocks that predict this age. Deep learning helped create an aging clock that more accurately predicts this age across multiple populations—which means it created a clock that can be used around the globe, not just locally like other aging clocks.

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