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Which ongoing measure is most effective for maintaining the safety and reliability of clinical AI after deployment?
①Only perform performance testing before deployment and do not make changes in production.
②Establish performance monitoring and drift-detection capabilities in production and create a framework that allows human intervention in case of anomalies.
③To deem a single annual external audit sufficient.
④Do not monitor until complaints are received from users.
⑤Only automatically retrain the model when new data becomes available.