ADAPTIVE COMPUTATIONAL FRAMEWORK FOR MEDICAL IMAGING APPARATUS

原文（中文）

Methods and systems are provided for increasing an efficiency of use of computing resources of a plurality of connected imaging systems, based on adaptive prioritization of tasks within and between compute instances and centralized task assignment. When a scan is not being performed using an imaging system, computing resources of the imaging system may be operated in a cooperative mode, where the computing resources may be advantageously used to perform processing tasks for other imaging systems of the connected imaging systems. Computing resources may be allocated based on compute time, data transmission time, and availability of compute instance. In particular, cloud-based AI models used by an imaging system may be integrated more efficiently. For example, local versions of such models may be cached, for operation in the event of a failure of external network connections.