AI-reconstructed medical images can't be trusted – Physics World

Medical images reconstructed using artificial intelligence (AI) techniques are unreliable, according to recent research by an international team of mathematicians. The team found that deep learning tools that create high-quality images from short scan times produce multiple alterations and artefacts in the data that could affect diagnosis. These issues were found in multiple systems, suggesting the phenomenon will not be easy to fix. Cutting medical scan time could reduce costs and allow more scans to be performed. To enable this, some researchers have developed AI systems that construct high-quality images from low-resolution scans.