Medicine is one of the fields that has benefited the most from technological innovation. Operating rooms with augmented reality, surgical robots, and artificial intelligence for analyzing CT scans. In addition to all of this, several devices can be used to monitor patient health and treatment effectiveness. The value of this sector, known as “digital therapeutics,” could reach up to $14 billion by 2027. A new generation of wearables It’s being used alongside artificial intelligence algorithms to provide unprecedented diagnostics.
For example, a Singaporean company has launched a new wearable called “Biovital” that analyzes subtle variations in your pulse to predict heart problems. Some studies show this technology can predict heart problems up to two weeks in advance. This is especially useful in the case of people who have undergone surgery and are at risk. The main benefit is that alerts can be accessed by the patient through an app on their mobile phone, but the information is also provided to medical professionals. .
Leave it in expert (remote) hands
All the classic “see a professional” recommendations are very good, but we all know that these experts aren’t always available right away. The ability of medical professionals to have real-time access to informed information and alerts could revolutionize healthcare. In addition to remotely monitoring heart problems, Biotvitals developers are participating in a technology project to quantify the intensity of pain in endometriosis patients.
Wearables, the future of infectious disease detection?
Stanford University is partnering with Fitbit to evaluate the potential for disease detection in wearables. However, in this case the focus is on infections that change constants such as body temperature. One of the first goals of this is technology project Researchers focused on detecting Covid-19 plan to use artificial intelligence algorithms to detect all types of viral infections, even in asymptomatic patients.
By combining various parameters such as heart rate and body temperature, the system may be able to recognize infection patterns. The research is based on algorithms created by the Stanford University School of Medicine team in 2017, and the results carry over to various types of smartwatches and bracelets.
In addition to detecting disease among study participants, a medium-term goal is to combine information received from multiple devices to establish infection rates in a wider group.
sauce: Stanford university, fierce biotech
