US US20260232170A1
[0000] Systems and methods for operating an endoscope reprocessing device are described. A processor can receive telemetry from sensors of the endoscope reprocessing device indicating physical process parameters currently being used by the endoscope reprocessing device. The processor can execute machine learning models, with inputs based on the telemetry, to determine an optimization target indicating target physical process parameters for optimizing operations of the endoscope reprocessing device. The processor can generate modified physical process parameters based on the physical process parameters indicated by the telemetry and the optimization target. The processor can convert the modified physical process parameters into actuator level control commands that control actuators of the endoscope reprocessing device. The processor can encode the actuator level control commands in digital signals. The processor can transmit the digital signals to the endoscope reprocessing device to cause the actuators to perform a reprocessing step according to the modified physical parameters.
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