Scientists have developed a new cloud-based software that can quickly and accurately diagnose ear infections using a smartphone. Researchers at the Umea University in Sweden and the University of Pretoria in South Africa have developed a method that simplifies the diagnosis of ear infections (otitis media), something which annually affects half a billion children worldwide.
The software-based method automatically analyses images from a digital otoscope and enables highly accurate diagnoses.
“Because of lack of health personnel in many developing countries, ear infections are often misdiagnosed or not diagnosed at all. This may lead to hearing impairments, and even to life-threatening complications,” said Claude Laurent, researcher at Umea University.
“Using this method, health personnel can diagnose middle ear infections with the same accuracy as general practitioners and paediatricians,” Laurent said.
“Since the system is cloud-based, meaning that the images can be uploaded and automatically analysed, it provides rapid access to accurate and low-cost diagnoses in developing countries,” he said.
The software system consists of a cloud-based analysis of images of the eardrum taken using an otoscope, which is an instrument normally used in the medical examination of ears.
Images of eardrums, taken with a digital otoscope connected to a smartphone, were compared to high-resolution images in an archive and automatically categorised according to predefined visual features associated with five diagnostic groups.
Tests showed that the automatically generated diagnoses based on images taken with a commercial video-otoscope had an accuracy of 80.6 per cent, while an accuracy of 78.7 per cent was achieved for images captured on-site with a low cost custom-made video-otoscope.
This high accuracy can be compared with the 64-80 per cent accuracy of general practitioners and paediatricians using traditional otoscopes for diagnosis.
“This method has great potential to ensure accurate diagnoses of ear infections in countries where such opportunities are not available at present,” said Laurent.
“Since the method is both easy and cheap to use, it enables rapid and reliable diagnoses of a very common childhood illness,” he said. The research was published in the journal EBioMedicine.