While most drones are designed for recreational purposes, researchers at the Karolinska Institute in Sweden are adding a welcome dose of medical functionality to their list of uses. In a recently-launched pilot program, the researchers tested a drone equipped with a defibrillator to provide more immediate aid to people who experience cardiac arrest.
More than six million people die annually as a result of cardiac arrest, making it the leading cause of death worldwide. Only one one in ten people survive a cardiac arrest outside of a hospital, and time is key to increasing these odds. In fact, each minute a cardiac arrest goes untreated without CPR or defibrillation, it decreases an individual’s chance of survival by 10 percent. With this is mind, researchers are coming up with clever ways to decrease the time it takes to treat cardiac arrest victims.
Jacob Hollenberg and his colleagues at the Karolinska Institute analyzed cardiac arrest records for areas outside of Stockholm lacking adequate nearby emergency medical resources. Analysis of this data determined that the median response time for the area was nearly 30 minutes, with a survival rate of zero.
The team then tested the amount of time it would take for a drone carrying a defibrillator to reach these areas compared to an ambulance. To do this, they dispatched a prototype defibrillator drone to locations in the area where cardiac arrests had recently occurred. During 18 trial flights, the drone arrived at the scene about five minutes after it was launched. It took the ambulances an average of 22 minutes to arrive at the same locations. The defibrillator has a speaker to relay instructions for using the device to individuals at the scene allowing for faster medical treatment.
“If we can decrease the time in cardiac arrest from collapse to defibrillation by a few minutes, hundreds of lives would be saved each year,” explained Hollenberg
Hollenberg and his team are currently working with local emergency services to optimize this defibrillator drone program and hopes the system will be ready to implement within the next two years.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.
Military working dogs charge into places the rest of us would flee. So, I understand why anyone would want to breed tougher, healthier dogs for the job.
Warhound, a new startup from Colossal Biosciences co-founder Ben Lamm and Anduril co-founder Palmer Luckey, has stepped out of stealth with $200 million to clone and gene-edit working dogs for American troops, police departments, and emergency services (via TechCrunch).
AI can describe a picture, identify objects, and answer questions about what a camera sees. But when a blind user needs a quick answer, getting an entire spoken essay about the scene isn't exactly helpful. Researchers at the University of Maryland (UMD) have found that AI-powered visual assistance can leave blind users doing too much work to get the information they actually need.
The study, titled Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users, examined how people interact with Be My AI, an AI-powered feature of the Be My Eyes app. The researchers found that users often received lengthy descriptions that didn't adequately address their immediate goals, forcing them to ask follow-up questions or find ways to steer the AI towards a more useful answer.