Artificial intelligence (AI)–assisted electrophysiology (EP) shows promise, but even its most ardent advocates aren't ready for full-fledged endorsement--yet. A robot revolution is coming, predicted the Huffington Post in November. Citing Bureau of Labor Statistics data and an analysis by Ball State University's Center for Business and Economic Research (CBER, online June 19, 2017), the article warned that nearly half of American jobs are "vulnerable to automation." Such forecasts aren't new or novel. Many came couched among counsel to prepare for a changing job market, while others have joined the debate about what machines should and shouldn't be tasked with doing.
The world's most valuable company crammed a lot into the tablespoon-sized volume of an Apple Watch. There's GPS, a heart-rate sensor, cellular connectivity, and computing resources that not long ago would have filled a desk-dwelling beige box. The wonder gadget doesn't have a sphygmomanometer for measuring blood pressure or polysomnographic equipment found in a sleep lab--but thanks to machine learning, it might be able to help with their work. Research presented at the American Heart Association meeting in Anaheim Monday claims that, when paired with the right machine-learning algorithms, the Apple Watch's heart-rate sensor and step counter can make a fair prediction of whether a person has high blood pressure or sleep apnea, in which breathing stops and starts repeatedly through the night. Both are common--and commonly undiagnosed--conditions associated with life-threatening problems, including stroke and heart attack.
Corti, an AI start-up, has developed an algorithm that can spot imminent heart failure in people calling up emergency services. At the moment, the algorithm is just working on what the callers are saying. This involves the actual words, i.e., natural language processing. It has been trained on emergency call logs going back years. But there is no reason in principle why it could not analyse intonation and breathing patterns from the calls too.
The Apple Watch can help users stay active, track their health data and can boost workouts with the watchOS 4 update. Apple launched the Apple Watch Series 3 and the watchOS 4 update in September 2015. The Series 3 is priced at $329 for the standard Wi-Fi version and $399 for the LTE cellular model. The wearable device includes a dual-core processor, a faster Siri, a heart rate sensor and is about the same size as the Series 2. While Apple doesn't sell the Series 2 anymore, the company still sells the original Apple Watch for $249. The original Apple Watch also supports watchOS 4. The Workout app is also another feature that can boost users' exercise sessions.
Early recognition of cardiac arrest is vitally important as the chance of survival decreases about 10 percent with each minute. In Denmark AI assistant Corti is listening in to phone calls to emergency services to help detect signs of a heart attack. With Corti implemented, the dispatcher gets a digital assistant that listens in on the conversation and helps to look for important signals in both verbal communication, as well as tone of voice and breathing patterns, while also considering other metadata. All the data provided during the emergency call is automatically analyzed by Corti and then compared to the millions of emergency calls – which Corti has already analysed –to find important patterns. As Corti's understanding of the incident increases, the assistant will try to predict the criticality of the patient's situation based on symptom descriptions and the signals gathered from voice and audio.
The development comes from John Radcliffe Hospital and it is an artificial intelligence system which has the aim of reducing operational expenditure. This is through early detection of heart disease and lung cancer. By detecting potential for diseases earlier, appropriate medication can be administered meaning a reduction in operations. Heart disease is assessed by cardiologists through the scanning and monitoring of heart attacks. An echocardiogram, or "echo", is a scan used to look at the heart and nearby blood vessels.
Artificial intelligence could help people live longer by detecting your internal age and designed a tailor-made medical regime, according to new research. Scientists developed a'simple and cheap' computer algorithm that can calculate people's biological age, and reveal whether certain lifestyle changes and medical products could increase the chance of living a long and healthy life. The formula, called Aging.AI, has provided accurate results for 130,000 individuals based on their blood samples. New research, led by the AI company Insilico Medicine, says artificial intelligence could determine a person's risk of developing age-related diseases like cancer and heart disease. Scientists created a formula that can calculate a person's risk of developing age-related diseases, and give medical advice based on those risks'The artificial intelligence is just as good at predicting your age as if you looked at a picture of the person and had to guess the person's age,' said Dr Morten Scheibye-Knudsen, a professor at University of Copenhagen's Center for Healthy Aging.
Emergency dispatchers have a tough job assuring callers while trying to ask questions that could save the patient's life. But soon they could get backup from AI. Starting in 2016, dispatchers in Copenhagen began getting help from an artificial intelligence named Corti that understands the words and sounds during calls to recognize cardiac arrest, then prompts the emergency professional with the right questions to get a more accurate diagnosis. Corti helps out in other ways, too, like reminding to ask whoever's on the phone for the address of the incident and ensuring the ambulance en route is headed to the right place. But much of its value lies in refining its diagnosis by detecting background clues. In one incident, recounted by Fast Company, the dispatcher had concluded a man who'd fallen off the roof had broken his back.
While developers push forward with new health tech, other research teams on the hunt for solutions for specific medical conditions or health problems sometimes find new uses for existing technology. That's what happened at MyoKardia, a South San Francisco-based clinical-stage biopharmaceutical company. MyoKardia discovered an important new use for optical biosensors similar to the sensors used in fitness trackers. Scientists at MyoKardia studied the effectiveness of wrist-worn photoplethysmography (PPG) optical sensors in detecting obstructive hypertrophic cardiomyopathy (oHMC). According to the research team, approximately 630,000 people in the U.S. have HMC, but only about 15% are diagnosed.
In Copenhagen, dispatchers now have help from AI. If you call for an ambulance, an artificially intelligent assistant called Corti will be on the line, using speech recognition software to transcribe the conversation, and using machine learning to analyze the words and other clues in the background that point to a heart attack diagnosis. The dispatcher gets alerts from the bot in real time. It's a situation where dispatchers typically have to rely only on their own knowledge. "If you and I have a problem, we end up Googling or asking people," says Andreas Cleve, CEO of the startup that created the technology.