Systems/techniques that facilitate customized exceptions for intelligent protocoling are provided. In various embodiments, a system can access a data candidate associated with a medical patient. In various aspects, the system can execute a trained machine learning model on the data candidate, thereby identifying a first medical imaging protocol to be performed by a medical imaging scanner on the medical patient. In various instances, the system can determine whether the data candidate triggers a conditional protocol exception, wherein the conditional protocol exception identifies a second medical imaging protocol that is to be implemented when a condition is satisfied by the data candidate. In various cases, the system can, in response to determining that the data candidate satisfies the condition, select the second medical imaging protocol to be performed by the medical imaging scanner on the medical patient instead of selecting the first medical imaging protocol.