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510(k) Data Aggregation
(210 days)
FUJIFILM Endoscope Model EG-840N; FUJIFILM Endoscope Model EG-840T; FUJIFILM Endoscope Model EG-840TP
FUJIFILM Endoscope Models EG-840T and EG-840TP is intended for the visualization of the upper digestive tract, specifically for the observation, diagnosis, and endoscopic treatment of the esophagus, stomach, and duodenum.
FUJIFILM Endoscope Model EG-840N is intended for the visualization of the upper digestive tract, specifically for the observation, diagnosis, and endoscopic treatment of the esophagus, stomach, and duodenum. This product can be inserted orally or nasally.
Never use this product for any other purposes.
The insertion portion of the device has a mechanism (hereinafter "the bending portion") which bends the tip from right to left and up and down, and a flexible tube (hereinafter "the flexible portion") consists of the bending portion and operating portion with a knob which controls the bending portion. The forceps channel which runs through the operating portion to the tip is arranged inside the insertion portion for inserting the surgical instrument. The insertion portion of the endoscopes comes into contact with the mucosal membrane.
The tip of the insertion portion is called the "Distal end" which contains the Imaging section, Distal cap, Objective lens, Air/water nozzle, Water jet nozzle (Except EG-840N), Instrument channel outlet, and Light guide. The bending portion is controlled by knobs on the control portion/operation section to angulate the distal end to certain angles.
The Flexible portion refers to the long insertion area between the Bending portion and the Control portion (a part of Non-insertion portion). This portion contains light guides (glass fiber bundles), air/water channels, a forceps/suction channel, a CrOS image sensor, and cabling. The glass fiber bundles allow light to travel through the endoscope to illuminate the body cavity, thereby providing enough light to the CMOS image sensor to capture an image and display the image on a monitor. The forceps channel is used to introduce biopsy forceps and other endoscopic accessories, as well as providing suction.
The control portion/operating section provides a grip to grasp the endoscopes and contains mechanical parts to operate the endoscopes. This section includes a Forceps inlet, which allows endoscope accessories to be introduced. The Scope connector connects the endoscopes to the light source.
The provided FDA 510(k) clearance letter pertains to endoscopes, which are hardware devices, not AI/ML software. Therefore, the information requested regarding acceptance criteria, study details, and data provenance for an AI/ML device is not explicitly present in the provided text.
The document focuses on demonstrating substantial equivalence to a predicate device through various non-clinical tests (electrical safety, biocompatibility, endoscope-specific testing, software validation, and reprocessing validation) rather than a clinical effectiveness study involving human readers or AI performance metrics.
However, I can extract information about the device's performance specifications that were tested to prove its general functionality and safety, which can be interpreted as fulfilling certain "acceptance criteria" for a physical medical device.
Here's a breakdown of the available information based on your request, with the caveat that it does not directly address AI/ML performance:
1. A table of acceptance criteria and the reported device performance
The document lists various performance specifications that the device met. It does not provide specific numerical acceptance criteria alongside reported performance values in a table format. Instead, it states that "The subject device met performance specifications in the following additional testing." This implies that the device did meet predefined internal thresholds for these parameters.
Acceptance Criterion (Performance Specification Tested) | Reported Device Performance |
---|---|
Field of view | Met performance specifications |
Diameter of forceps channel | Met performance specifications |
Uneven illumination | Met performance specifications |
Bending capability | Met performance specifications |
Viewing direction | Met performance specifications |
Color reproducibility | Met performance specifications |
Rate of suction | Met performance specifications |
Resolution | Met performance specifications |
Air volume | Met performance specifications |
Working length | Met performance specifications |
LG output | Met performance specifications |
Water volume | Met performance specifications |
Electrical safety | Met specified standards (ANSI/AAMI ES 60601-1:2012, IEC 60601-1-2:2020, IEC60601-1-6:2020 and IEC 60601-2-18:2009) |
Biocompatibility | Met specified standards (ISO 10993-1:2018, ISO 10993-5:2009, and ISO 10993-10:2010), in accordance with FDA guidance. |
Endoscope specific testing | Met specified standards (ISO 8600-1:2015, ISO 8600-3:2019, and ISO 8600-4:2014) |
Software specific testing (Validation) | Met specified standards (IEC 62304:2015), in accordance with FDA guidance. |
Cleaning, disinfection, and sterilization instructions validation | Met FDA guidance, demonstrated substantial equivalence in performance to predicate device after reprocessing. |
2. Sample size used for the test set and the data provenance
- Sample Size: Not specified for any of the tests. The document mentions "testing" or "validation activities" without detailing the number of devices or trials involved.
- Data Provenance: Not specified. As this is a 510(k) for a physical medical device (endoscope), the testing would typically be conducted in a laboratory setting by the manufacturer, rather than involving patient data in the context of imaging performance.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
Not applicable. The tests performed are engineering and safety validations. There is no mention of human expert involvement for establishing "ground truth" in the context of image interpretation or diagnosis, as this is not an AI/ML diagnostic tool.
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
Not applicable. This is a concept typically used in clinical studies involving interpretation by multiple readers, which is not described here.
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 device. The document describes a traditional endoscope.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
Not applicable. The device itself is an endoscope, not an algorithm. Software validation was conducted (IEC 62304:2015), but this relates to the software controlling the endoscope's functions, not a standalone diagnostic AI.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)
For the listed performance specifications (field of view, resolution, etc.), the "ground truth" would be established by objective physical measurements using calibrated equipment and engineering standards. For biocompatibility, it's based on biological response to materials, and for reprocessing, it's based on sterility and decontamination efficacy. There is no "ground truth" in the diagnostic sense as there would be for an AI/ML algorithm.
8. The sample size for the training set
Not applicable. This is not an AI/ML device that requires a training set.
9. How the ground truth for the training set was established
Not applicable.
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(230 days)
FUJIFILM Endoscope Model EG-840N; FUJIFILM Endoscope Model EG-840T; FUJIFILM Endoscope Model EG-840TP
FUJIFILM Endoscope Models EG-840T and EG-840TP is intended for the visualization of the upper digestive tract, specifically for the observation, diagnosis, and endoscopic treatment of the esophaqus, stomach, and duodenum.
FUJIFILM Endoscope Model EG-840N is intended for the visualization of the upper digestive tract, specifically for the observation, diagnosis, and endoscopic treatment of the esophagus, stomach, and duodenum. This product can be inserted orally or nasally. Never use this product for any other purposes.
The insertion portion of the device has a mechanism (hereinafter "the bending portion") which bends the tip from right to left and up and down, and a flexible tube (hereinafter "the flexible portion") consists of the bending portion with a knob which controls the bending portion. The forceps channel which runs through the the tip is arranged inside the insertion portion for inserting the surgical instrument. The insertion of the endoscopes comes into contact with the mucosal membrane.
The tip of the insertion portion is called the "Distal end" which contains the Imaging section, Distal cap, Objective lens, Air/water nozzle, Water jet nozzle (Except EG-840N), Instrument channel outlet, and Light guide. The bending portion is controlled by knobs on the control portion/operation section to angulate the distal end to certain angles.
The Flexible portion refers to the long insertion area between the Control portion (a part of Non-insertion portion). This portion contains light guides), air/water channels, a forceps/suction channel, a CMOS image sensor, and cabling. The class fiber bundles allow light to travel through the endoscope to illuminate the body cavity, thereby providing enough light to the CMOS image sensor to capture an image on a monitor. The forceps channel is used to introduce biopsy forceps and other endoscopic accessories, as well as providing suction.
The control portion/operating section provides a grip to grasp the endoscopes and contains mechanical parts to operate the endoscopes. This section includes a Forceps inlet, which allows endoscope accessories to be introduced. The Scope connector connects the endoscopes to the light source.
This is a 510(k) summary for medical devices (endoscopes), and it refers to "bench testing data" and "performance specifications" being met, rather than clinical study results against acceptance criteria in the manner of an AI/algorithm-driven device.
From the provided text, there is no information about acceptance criteria or a study proving that an AI-driven device meets those criteria for the following reasons:
- Device Type: The devices described (FUJIFILM Endoscope Model EG-840N; FUJIFILM Endoscope Model EG-840T; FUJIFILM Endoscope Model EG-840TP) are physical endoscopes for visualization, diagnosis, and treatment. They are not described as AI or software-as-a-medical-device (SaMD) products designed to process or interpret images/data using algorithms.
- Study Types Mentioned: The document refers to:
- Electrical safety evaluations (standards: ANSI/AAMI ES 60601-1-2012, IEC 60601-1-6:2020, IEC 60601-2-18:2009)
- Biocompatibility testing (standards: ISO 10993-5:2009, ISO 10993-10:2010, FDA guidance)
- Endoscope-specific testing (standards: ISO 8600-3:1997, ISO 8600-4:2014)
- Software-specific testing (standard: IEC 62304:2015, FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices) - This refers to software within the device, not a standalone AI algorithm for medical image analysis.
- Cleaning and disinfection validation (FDA guidance)
- Additional testing for physical parameters like Field of view, Bending capability, Rate of suction, Working length, Diameter of forceps channel, Resolution, LG output, Uneven illumination, Viewing direction, Color reproducibility.
The phrase "Resolution" is listed twice, implying a focus on the optical performance of the endoscope itself.
Therefore, the information required for your request (acceptance criteria, study details for an AI-driven device) cannot be extracted from this document because it pertains to the clearance of a traditional medical device (an endoscope) and not an AI/algorithm-based diagnostic or treatment tool.
If this were an AI device, the document would typically contain sections explicitly detailing:
- The AI algorithm's intended use and function (e.g., detecting polyps, classifying lesions).
- Specific performance metrics (e.g., sensitivity, specificity, AUC) for the AI.
- The clinical study design, comparator (e.g., human experts), and statistical analysis.
- Details about the dataset used (test set, training set, ground truth derivation).
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