Changing Course: Rethinking How AI Can Interpret X-Rays

Can high-resolution images offer better accuracy in AI support for decision making than the standard low-resolution images used in most deep learning models today? That's a question that researchers[1] from SURFsara B.V., Intel's AI group, and Dell EMC's AI group recently tackled. The answer, it turns out, is yes. This debate around image resolution highlights the occasions when hosting AI algorithms on CPUs can give better results and can help us understand the details that are critical for fine-tuning of all machine learning work, on all machines. Chest x-ray exams are one of the most frequent and cost-effective medical imaging examinations available -- far cheaper and more accessible than chest CT imaging (Computerized Axial Tomography, commonly called CAT scans or CT scans).