(150 days)
RESCAN 700 provides non-contact, high resolution optical coherence tomographic (OCT) and biomicroscopic imaging of the anterior and posterior segment of the eve via an ophthalmic surgical microscope. The RESCAN 700 is indicated for in vivo viewing, axial cross sectional, and three-dimensional imaging of posterior ocular structures, including retina, macula, and optic disc, as well as imaging of anterior ocular structures, including the cornea, lens and anterior chamber angle.
RESCAN 700 uses the assistance system (CALLISTO eye) that provides non-diagnostic video documentation and image capture for ophthalmic surgeries. The assistance system allows the remote control of RESCAN 700.
RESCAN 700 brings Spectral Domain OCT technology to the ZEISS ophthalmic surgical microscopes (e.g. ARTEVO 800). Used in conjunction with the assistance system, CALLISTO eye, OCT images taken intra-operatively are presented on the monitor and may also be seen within the surgeon's oculars using the surgical microscopes integrated data injection system (IDIS). OCT images may be stored for subsequent retrieval using CALLISTO eye's data management system. RESCAN 700 can be controlled via the touch panel of the assistance system or via the foot control panel of an ophthalmic surgical microscope
This document is a 510(k) summary for the RESCAN 700 (SW 3.0), a medical device used for ophthalmic imaging. It outlines the reasons for the 510(k) submission, primarily focusing on minor software and component changes, and argues for its substantial equivalence to a previously cleared predicate device (RESCAN 700 Software Version 2.0).
Based on the provided text, the device in question (RESCAN 700 SW 3.0) is an imaging device that captures OCT (Optical Coherence Tomography) and biomicroscopic images of the eye. It is not an AI/ML-driven diagnostic device that would have acceptance criteria based on diagnostic performance metrics like sensitivity, specificity, or AUC, or studies involving human readers improving with AI assistance.
The 510(k) submission is for a software and minor component update to an already cleared device, arguing for substantial equivalence. Therefore, the "acceptance criteria" discussed in this document are primarily related to software verification and validation, electrical safety, and electromagnetic compatibility (EMC), ensuring that the updated device remains safe and effective with its existing intended use. It is not a de novo submission for a novel AI/ML algorithm.
Given this context, I will address your prompt based on the information available within the document, explaining why some of your requested points are not applicable to this type of regulatory submission and focusing on the relevant criteria and studies mentioned.
Acceptance Criteria and Study to Prove Device Meets Acceptance Criteria for RESCAN 700 (SW 3.0)
Context: The RESCAN 700 (SW 3.0) is an updated version of an already cleared ophthalmic imaging device. The 510(k) submission primarily addresses minor software changes and component updates. This is a substantial equivalence claim, not a new AI/ML diagnostic or assistive device that would typically involve comparative effectiveness studies with human readers or complex ground truth establishment for novel algorithms. The "acceptance criteria" here refer to regulatory and engineering standards rather than clinical diagnostic performance metrics for an AI algorithm.
1. Table of Acceptance Criteria and Reported Device Performance
| Acceptance Criteria Category | Specific Criteria / Standard Met | Reported Device Performance / Study Outcome |
|---|---|---|
| Software Integrity | Compliance with IEC 62304:2006+AC:2008 + AC:2015 Medical device software life cycle processes. | Testing Passed |
| Compliance with FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (June 2023). | Testing Passed | |
| Software Validation | Validation conducted according to IEC 62366. | Testing Passed |
| Cybersecurity | Followed recommendations in "Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions (September 27, 2023)." | Not explicitly "passed," but compliance with guidance followed. |
| Electrical Safety | Compliance with IEC 60601-1-2 standards. | Testing Passed |
| EMC (Electromagnetic Compatibility) | Compliance with IEC 60601-1-2 standards. | Testing Passed |
| Substantial Equivalence | Device maintains identical Indications for Use and comparable technical characteristics to predicate device. | Deemed Substantially Equivalent |
2. Sample Size Used for the Test Set and Data Provenance
This is not applicable in the context of this 510(k) summary. The document describes a software and hardware update for an imaging device, not a diagnostic AI/ML algorithm requiring a clinical test set of patient data with a specific sample size for performance evaluation (e.g., sensitivity, specificity). The "testing" referred to is primarily engineering verification and validation (V&V) of the software and hardware changes (e.g., unit testing, integration testing, system testing, safety testing), not clinical performance testing on patient data.
3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications
This is not applicable. As explained in point 2, this submission is for an updated imaging device, not a new AI/ML diagnostic algorithm that would require expert-established ground truth for its performance evaluation on a clinical test set. The validation focuses on engineering and regulatory compliance.
4. Adjudication Method for the Test Set
This is not applicable for the same reasons as points 2 and 3. There is no mention of "adjudication" in the context of a clinical test set for this device.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done, and the effect size of how much human readers improve with AI vs without AI assistance
No, an MRMC comparative effectiveness study was not done. The RESCAN 700 is an imaging device, providing high-resolution OCT and biomicroscopic images. It is used for in-vivo viewing, axial cross-sectional, and three-dimensional imaging of ocular structures. It is not an AI-assisted diagnostic tool designed to improve human reader performance in interpreting images. The document explicitly states that the "assistance system (CALLISTO eye)" provides "non-diagnostic video documentation and image capture."
6. If a Standalone (i.e. algorithm only without human-in-the loop performance) was done
This is not applicable. The RESCAN 700 is an imaging system, not a standalone AI algorithm. Its function is to acquire images, not to provide automated diagnostic interpretations that would be evaluated for standalone performance.
7. The Type of Ground Truth Used
For software verification and validation, the "ground truth" implicitly used would be the functional and performance specifications of the software and hardware. For electrical safety and EMC, the "ground truth" is adherence to international consensus standards (IEC 60601-1-2). There is no patient-data derived "ground truth" (like expert consensus, pathology, or outcomes data) mentioned for the purpose of demonstrating the device's acceptable performance, as this is related to a software update for an imaging system, not a diagnostic AI.
8. The Sample Size for the Training Set
This is not applicable. The RESCAN 700 (SW 3.0) is not an AI/ML algorithm that requires a "training set" of data in the sense of machine learning model development. The software updates are described as "minor software changes" and "changes to components and parts," indicating traditional software development, testing, and hardware modifications, not the training of a learning algorithm.
9. How the Ground Truth for the Training Set was Established
This is not applicable, as there is no mention of a "training set" for an AI/ML algorithm. The "ground truth" for the device's functionality and safety would be established through engineering design specifications, adherence to quality system regulations, and compliance with relevant international standards.
§ 886.1570 Ophthalmoscope.
(a)
Identification. An ophthalmoscope is an AC-powered or battery-powered device containing illumination and viewing optics intended to examine the media (cornea, aqueous, lens, and vitreous) and the retina of the eye.(b)
Classification. Class II (special controls). The device, when it is an AC-powered opthalmoscope, a battery-powered opthalmoscope, or a hand-held ophthalmoscope replacement battery, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 886.9.