Opinion: Toward The Eradication Of Medical Diagnostic Errors

The article discusses the issue of diagnostic errors in the medical community and how artificial intelligence (AI) can potentially help improve diagnostic accuracy. Despite the increasing use of medical imaging and laboratory tests, there has been little improvement in reducing diagnostic errors. AI, specifically supervised deep learning with convolutional neural networks, has shown promise in improving accuracy in interpreting medical images. However, there are still challenges in implementing AI in clinical settings.