HIPPOCRATES, the father of medicine, was known to have used smell as an aid to his work. Generations of doctors followed suit.
Flirtey has partnered with a Reno, Nevada-based ambulance service in hopes of using drones to deliver portable defibrillators to 911 callers reporting symptoms of cardiac arrest.
Stanford researchers claim to have developed an algorithm that “exceeds the performance of board certified cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms [ECG] recorded with a single-lead wearable monitor,” according to a study published in arXiv.
Drones are already employed for anything from military to recreational use, from oil exploration to filmmaking, but they could also help save the lives of people who have suffered a cardiac arrest, research suggests.
On a cold, bright January morning I walked south across Westminster Bridge to St Thomas’ Hospital, an institution with a proud tradition of innovation: I was there to observe a procedure generally regarded as the greatest advance in cardiac surgery since the turn of the millennium – and one that can be performed without a surgeon.
We have been talking about benefits of machine-learning investments for quite some time. There’s simply an incredible amount of potential and opportunities that can come from these learning machines – especially where the medical field is concerned. IBM’s Watson might have been one of the first major computers to be used in this way, but the number of dedicated learning machines out there continues to grow by the day.