A headband can monitor hallucinations, while skin cancer can be detected by cell phone.
What about the most common cause of heart disease and coronary artery aneurysms in 1-5 year-olds?
Cue a 17-year-old female student from San Diego who has developed a new method for identifying Kawasaki Disease.
Since the five symptoms – high fever, red tongue, body rash and swollen hands and feet – are often misdiagnosed, her system relies on an artificial intelligence providing visual analysis. All that’s required is a cell phone photo.
The system operates at 85% accuracy, and was trained using pictures of children with KD and those with other illnesses who had similar symptoms.
Smartphone recordings of carotid arteries, meanwhile, can help detect artery blockages.
