Artificial neural networks in positron emission tomography-computed tomography: is it time yet?

摘要

Artificial intelligence has been routinely used in medical application on a significant scale as a reasoning tool to support clinical decision making since the earliest days of computing. They have become well established as viable, multipurpose, robust computational methodologies with solid theoretical support and with strong potential to be effective in any discipline in both academic research and industrial application, especially in medicine. Throughout history, humans have employed machines to replace manual labor and humans have also used tools with some element of artificial intelligence. In the same way that humans use different sounds and signs through the medium of language for interaction, the same principle applies to machines