AI

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The field of medicine is one of the highest benefactors of artificial intelligence. The AI’s deep learning capability helps doctors to identify and diagnose diseases while patients can receive assistance in quitting bad lifestyle habits.

In Copenhagen, a digital assistant called Corti can analyze symptoms, detect anomalies, and provide support for critical decision-making. Corti works by listening to an emergency phone call and analyzing the conversation. Relayed information by the caller is then matched to the whole database of medical knowledge and will provide on-screen details to the dispatchers.

“Our dispatchers do an incredible job under high pressure and in circumstances where the person on the line is often scared or experiencing panic-inducing symptoms. During the time that we have used Corti to augment our existing service, we have seen how the platform can support dispatchers by expediting accurate diagnoses,” said Freddy Lippert, Chief Executive Officer at Emergency Medical Services Copenhagen.

For iPhone users, the Butterfly iQ device can be used to perform whole body imaging. It is cleared by the US Food and Drug Administration to perform clinical scans including cardiac for adult and children, fetal and obstetric, and abdominal. It even managed to capture a possibly cancerous mass on Dr. John Martin, who is an oncologist but who tested the device.

“There are several things about this product that make it very, very different. Number one is that you can use one single transducer that can be deployed to look at structures that are in the near-field, and then structures that are deeper in the body,” said Dr. John Christian Fox, Director of Instructional Ultrasound at University of California, Irvine.

People who are suffering from addiction can also be motivated and freed by AI. An app called Triggr Health provides a predictive system of care to help people recover from opioid addiction. The deep learning used by the app can address all aspects of substance dependency and is capable of determining regressive behavior by at least 90 percent.