(99 days)
The RemotEye Viewer software product is intended to be used as a fully functional, web-based medical image viewer to download, review, interpret, manipulate, visualize and print medical multi-modality image data in DICOM format, also stored in remote locations with respect to the viewing site. When interpreted by a trained physician, the medical images displayed by RemotEye Viewer can be used as an element for diagnosis.
Typical users of RemotEye Viewer are trained professionals, including but not limited to radiologists, physicians, nurses and technicians.
The RemotEye Viewer software product is a feature-rich, diagnostic-level, web-based DICOM medical image viewer that allows downloading, reviewing, interpreting, manipulating, visualizing and printing medical multi-modality image data in DICOM format, from a client machine. The DICOM images may be physically remote with respect to the viewing client, but reachable through a network.
Typical users of RemotEye Viewer are trained professionals, including but not limited to radiologists, physicians, nurses and technicians.
The provided text describes a 510(k) premarket notification for the "RemotEye Viewer" device, which is a medical image viewer. However, it does not include detailed information about acceptance criteria or a specific study proving the device meets those criteria in the way typically expected for performance-based AI/CAD devices.
The document primarily focuses on establishing "substantial equivalence" to a predicate device (eFilm Workstation) based on intended use, technological characteristics, and functionality. It does not present a performance study with defined metrics, sample sizes, expert ground truth, or comparative effectiveness.
Therefore, many of the requested sections will state that the information is not provided in the given text.
Here's a breakdown based on the provided text:
1. Acceptance Criteria and Reported Device Performance
The document does not explicitly state acceptance criteria or report specific performance metrics for the RemotEye Viewer in the context of diagnostic accuracy, sensitivity, specificity, etc. The "Testing" section broadly mentions that the device is "tested according the specifications that are documented in 013-139 and 009_Al Verification and Validation document." These internal documents are not provided.
| Metric | Acceptance Criteria (Not provided in text) | Reported Device Performance (Not provided in text) |
|---|---|---|
| (e.g., Diagnostic Accuracy, Sensitivity, Specificity) | N/A | N/A |
| (e.g., Image Display Quality) | N/A | Performed as intended for viewing DICOM images |
| (e.g., Functionality) | All features listed in "Technological Characteristics in common" function correctly. | Implemented and functioning as described. |
The document's primary claim related to performance is that its "different technological characteristics" (web-based, multi-platform, no local storage) "don't constitute any new intended use and don't raise new questions of safety and effectiveness." This implies that its core viewing and manipulation functions are expected to perform similarly to the predicate device.
2. Sample Size Used for the Test Set and Data Provenance
The document does not describe a test set in the context of diagnostic performance evaluation. It mentions "Testing" as an integral part of their software development process, but no details regarding specific test datasets, their size, or provenance are included.
- Sample Size for Test Set: Not provided.
- Data Provenance (e.g., country of origin, retrospective/prospective): Not provided.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts
Since no specific diagnostic performance test set is described, there's no mention of experts establishing ground truth. The device is a viewer for images that are "interpreted by a trained physician" to "be used as an element for diagnosis," implying human interpretation is central, not an automated diagnostic output requiring ground truth.
- Number of Experts: Not applicable/Not provided.
- Qualifications of Experts: Not applicable/Not provided.
4. Adjudication Method for the Test Set
Not applicable, as no diagnostic performance test set is described.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done
No, the document does not describe an MRMC comparative effectiveness study where human readers improve with AI vs. without AI assistance. The device itself is a viewer, not an AI/CAD system providing interpretations.
6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) was done
Not applicable. The RemotEye Viewer is a medical image viewing software intended for use by "trained professionals" to review and interpret images. It is not an algorithm designed for standalone diagnostic performance.
7. The Type of Ground Truth Used
Not applicable, as no diagnostic performance evaluation requiring ground truth is described for the device itself. The primary function is image display and manipulation, not automated diagnosis.
8. The Sample Size for the Training Set
Not applicable. The RemotEye Viewer is a software viewer, not a machine learning model that requires a training set in the conventional sense for diagnostic performance. Its development involves software engineering, testing, and validation, not training on medical images for algorithmic performance.
9. How the Ground Truth for the Training Set was Established
Not applicable, as there is no mention of a training set or ground truth in the context of machine learning model development.
§ 892.2050 Medical image management and processing system.
(a)
Identification. A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.(b)
Classification. Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).