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The Delta III Pro Lithotripter is indicated for the fragmentation of urinary tract stones, i.e., renal calyceal stones, renal pelvic stones, and upper ureteral stones.

The Delta III Pro Lithotripter is a modular urological work station designed for extracorporeal shock wave lithotripsy ("ESWL") and for diagnostic and therapeutic procedures usual in urology.
The Delta III is composed of the following modules:

• . Basic Unit with integrated X-ray C-arm and Therapy Arm with camera for Shockwave Treatment;
• Patient Table: .
• Control Desk/Image Storage (UIMS). .
  The basic unit contains the power supplies, control unit, power electronics for motor drives, components for shockwave generation, and an integrated Therapy C-arm and an X-Ray C-Arm. The housing can be positioned with its back close to the room wall and has wide side doors for easy service.
  The therapy and X-ray C-arm house the shock wave source ("EMSE") and the complete X- ray unit. The X-ray unit consists of the X-ray generator, the X-ray tube, a flat panel image receptor system, and a high resolution imaging chain. This provides the imaging to perform the procedures. The C-arms allow for a wide range of movement to facilitate performing urological procedures. The shock wave circuit supplies the shock wave energy needed for the treatment of kidney stones.
  The Delta III Pro's urological patient table provides longitudinal, lateral and vertical travel range to allow easy positioning of the stone in the shock wave focus for lithotripsy and urological procedures.
  The image processing system (UIMS) with DICOM 3 capability supports PACS connection and offers complete X-rav control and image handling.

The provided text does not contain information about acceptance criteria and a study that proves the device meets those criteria in the context of typical AI/ML device performance studies (e.g., sensitivity, specificity, accuracy against a ground truth).

Instead, the document is a 510(k) submission for a Delta III Pro Lithotripter, which is a medical device for fragmenting urinary tract stones. The submission focuses on demonstrating substantial equivalence to a predicate device (Dornier Delta III Lithotripter, K201074) based on minor modifications.

The "Performance Data" section describes compliance with electrical safety, electromagnetic compatibility, radiation protection, safety of lithotripsy equipment, safety and performance of x-ray equipment, and usability engineering standards (IEC standards), as well as software verification and validation. These are engineering and regulatory compliance criteria, not performance metrics like sensitivity or specificity for a diagnostic AI.

Here's a breakdown of why the requested information for acceptance criteria and related study details cannot be found in the provided text:

• This is not an AI/ML device in the context of diagnostic performance: The device is a lithotripter, which physically breaks down stones. Its performance is measured by its safety, efficacy in stone fragmentation, and compliance with various engineering standards, not by diagnostic accuracy.
• The "Performance Data" section refers to regulatory compliance and non-clinical testing: "Non-clinical functional testing successfully passed and met all design requirements" and compliance with IEC standards are mentioned. This refers to engineering verification and validation, not a clinical study comparing its diagnostic performance against a ground truth with human experts.
• No mention of human readers, AI assistance, or diagnostic metrics: The text does not discuss human interpretation of images/data, AI algorithms for analysis, or metrics like accuracy, sensitivity, specificity, AUC, etc.

Therefore, many of your specific questions are not applicable to the information provided in this 510(k) summary. I cannot create the table or answer the questions the way they are designed for an AI/ML diagnostic device.

However, I can extract the information that is present regarding "performance" in the context of this device and its submission:

1. A table of acceptance criteria and the reported device performance

The document does not explicitly state "acceptance criteria" for diagnostic performance, but it lists standards with which the device complies. The "reported device performance" is primarily stated as successful compliance with these standards and established design requirements.

2. Sample size used for the test set and the data provenance
This information is not provided because it's a non-clinical, engineering verification for a physical device, not an AI/ML diagnostic study.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
Not applicable. No "ground truth" in the diagnostic sense is established for this type of device.

4. Adjudication method for the test set
Not applicable.

5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance
Not applicable. This is not an AI-assisted diagnostic device.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
Not applicable.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)
Not applicable in the diagnostic sense. The "ground truth" for this device would be established engineering specifications, safety standards, and performance benchmarks for stone fragmentation, which are not detailed in this summary.

8. The sample size for the training set
Not applicable. This is not an AI/ML device that requires a training set in that context.

9. How the ground truth for the training set was established
Not applicable.

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