Search Results

This Single-use Flexible Ureteroscope is intended to use in conjunction with endoscopic image processor to provide images through the video monitor for observation, diagnosis, photography and treatment of the urinary system such as urethra. bladder, ureter and renal pelvis.

This Single-use Flexible Cystoscope is intended to use in conjunction with endoscopic image processor to provide images through the video monitor for observation, diagnosis, photography and treatment of the urinary system such as urethra, bladder and renal pelvis.

This Endoscopic Image Processor is used for endoscopic diagnosis and therapies. It connects to the electronic endoscopes, displaying the images on the monitor detected within the field of view from the body cavity.

The subject device, Urology Videoscope System is consisting of a Single-use Flexible Ureteroscope (SUV-1A-B, SUV-1A-P, SUV-2A-B, SUV-24-P SUV-2B-B SUB-2B-P SUV-2C-B SUV-2C-P) or Single-use Flexible Cystoscope (SUV-1D-B SUV-1D-P) and an Endoscopic Image Processor (HDVS-S100A, HDVS-S100D) including the foot switch. The subject device has been designed to be used for endoscopic diagnosis and therapies within the urinary system such as urethra, bladder, ureter and renal pelvis.

The Single-use Flexible Ureteroscope and Single-use Flexible Cystoscope are single use devices. They are intended to be used in conjunction with Endoscopic Image Processor to provide images through the video monitor for observation, diagnosis, photography and treatment of the urinary system such as urethra, bladder, ureter and renal pelvis. There are ten models of Single-use Flexible Ureteroscope and Single-use Flexible Cystoscope, with four kinds of insertion portion widths (2.5mm, 2.7mm, 2.8mm and 5.4 mm), four working lengths (380mm, 550mm, 635mm and 680mm), two different treatment section (with or without suction section).

The Single-use Flexible Ureteroscope and Single-use Flexible Cystoscope are single-channel is in the distal end of the endoscope, and it bifurcates to two channels leading to the irrigation valve and suction section.

The Single-use Flexible Ureteroscope and Single-use Flexible Cystoscope are sterilized by Ethylene Oxide Gas to achieve a SAL of 10-6 and supplied sterility maintenance package which could maintain the sterility of the shelf life of three years.

The Endoscopic Image Processor is a reusable device. The Endoscopic Image Processor has two models. The only difference between the two models is that the HDVS-S100A has Enhance function and the HDVS-S100D does not have the Enhance function.

The provided text is an FDA 510(k) clearance letter and summary for a Urology Videoscope System. It details acceptance criteria based on non-clinical performance data and various tests. However, it does not include information about a study proving device meets acceptance criteria related to human reader performance with or without AI assistance, a multi-reader multi-case (MRMC) comparative effectiveness study, or any AI component for which such an evaluation would be relevant.

The document primarily focuses on bench testing and technical performance of the Ureteroscope, Cystoscope, and Image Processor, rather than the diagnostic interpretive performance of an AI algorithm.

Therefore, many of the requested points in the prompt (2-9) are not applicable or cannot be answered from the provided text, as they pertain to AI/machine learning model evaluation in a diagnostic context.

Here's the information that can be extracted or deduced from the text, with explanations for what cannot be answered:

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

The document lists various performance tests conducted to demonstrate compliance with standards, implying these are the acceptance criteria for the respective tests. However, it does not provide specific numerical acceptance thresholds or detailed "reported device performance" values for each criterion, only that "The test results demonstrated that the subject device complies with the standard requirements" or that testing was "conducted on the subject device" to "demonstrate the subject endoscope can function as intended."

2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

This information is not provided in the document as the studies described are non-clinical, bench-top, and engineering performance tests, not studies on image datasets. The device is manufactured in China.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

This information is not applicable/not provided. The ground truth for the non-clinical tests would be established by engineering specifications, physical measurements, and adherence to international standards, not by clinical experts reading images.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

This information is not applicable/not provided. Adjudication methods are relevant for clinical image interpretation studies, not for the technical performance tests described.

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

There is no mention of an AI component or any MRMC study in this document. The device is an endoscope system for visualization and therapy, not an AI-assisted diagnostic tool. The document explicitly states: "The clinical data is not applicable."

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

There is no mention of an AI algorithm in this document, therefore no standalone algorithm performance study was indicated.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

For the non-clinical tests described, the "ground truth" would be the engineering specifications, physical parameters, and established international standards (e.g., ISO, IEC) against which the device's performance is measured. It is not clinical ground truth.

8. The sample size for the training set

This information is not applicable/not provided, as there is no AI or machine learning model mentioned that would require a training set.

9. How the ground truth for the training set was established

This information is not applicable/not provided, as there is no AI or machine learning model mentioned.

Ask a specific question about this device