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The Diagnostic Ultrasound System is applicable for adults and pediatric patients. It is intended for use in pediatric, small organ (breast, thyroid, testicles, prostate), musculoskeletal (conventional), musculoskeletal (superficial), peripheral vessel and dermatological exams.

The Paragon XHD Diagnostic Ultrasound System is a mobile software controlled ultrasonic system. Its function is to acquire and display ultrasound data in B-Mode, Color Flow Doppler, Power/Dirpower mode or the combination of these modes. The system can also measure anatomical structures and offer software analysis packages performance to provide information based on which the competent health care professionals can make the diagnosis. The Paragon XHD Diagnostic Ultrasound System consists of the main unit, an ultrasound probe, power adapter, connecting cable.

The provided document is a 510(k) summary for the Shenzhen Wisonic Medical Technology Co., Ltd. Paragon XHD Diagnostic Ultrasound System. This document outlines the device's characteristics and its substantial equivalence to predicate devices, focusing on safety and performance.

However, the document does NOT contain information about acceptance criteria and the study that proves the device meets the acceptance criteria from an AI/algorithm performance perspective. Instead, it discusses the device's compliance with electrical safety, EMC, biocompatibility, and general performance standards for an ultrasound system.

Therefore, I cannot extract the requested information regarding AI/algorithm performance acceptance criteria, test set details, expert consensus, MRMC studies, or standalone algorithm performance, as these are not discussed in the provided text.

The information given pertains to the ultrasound system itself, not an AI component within it. The closest approximation to "performance testing" in the document describes evaluating "clinic measurement accuracy and system sensitivity," which are general ultrasound system performance metrics, not related to an AI algorithm that would have specific acceptance criteria like sensitivity, specificity, or AUC.

Without further information describing an AI component and its validation, I cannot fulfill your request in full detail. If there was an AI component, the provided document does not elaborate on its specific validation.

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