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510(k) Data Aggregation

    K Number
    K250442
    Date Cleared
    2025-07-29

    (165 days)

    Product Code
    Regulation Number
    876.1500
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Intuitive Surgical Endoscopic Instrument Control System (da Vinci Surgical System, Model IS5000) shall assist in the accurate control of Intuitive Surgical Endoscopic Instruments including rigid endoscopes, blunt and sharp endoscopic dissectors, scissors, scalpels, forceps/pick-ups, needle holders, endoscopic retractors, electrocautery and accessories for endoscopic manipulation of tissue, including grasping, cutting, blunt and sharp dissection, approximation, ligation, electrocautery, suturing, and delivery and placement of microwave and cryogenic ablation probes and accessories, during urologic surgical procedures, general laparoscopic surgical procedures, gynecologic laparoscopic surgical procedures and general thoracoscopic surgical procedures. The system is indicated for adult use.

    It is intended to be used by trained physicians in an operating room environment in accordance with the representative, specific procedures set forth in the Professional Instructions for Use.

    Contraindication:
    Use of the force feedback needle driver is contraindicated in hysterectomy and myomectomy due to the risk of vaginal bleeding requiring hospital readmission and/or the need for additional procedures. The use of non-force feedback needle drivers is recommended for suturing in these procedures.

    Device Description

    The da Vinci Surgical System Model IS5000 (also referred to as dV5) is a software-controlled, electromechanical system designed for surgeons to perform minimally invasive surgery. It consists of a Surgeon Side Console (Console), a Patient Side Cart (Robot), and a Vision System Cart (Tower) and is used with an Endoscope, EndoWrist Instruments, and Accessories.

    This submission is based on the software and labeling modification to the da Vinci Surgical System, Model IS5000, previously cleared under K232610. The IS5000 system software has been modified to enable features including Focused Mode, 3D Model Viewer, and Video Review. The Device Labeling of the da Vinci Surgical System, Model IS5000, is also modified to reflect the additional features.

    Focused Mode is a new menu mode within the da Vinci Surgical System IS5000 Graphical User Interface (GUI) that allows users to access and interact with 3D Model Viewer and Video Review.

    3D Model Viewer (3DMV) is a software feature that enables the da Vinci Surgical System IS5000 system to display and manipulate 3D Models and 2D image files directly on the da Vinci Surgeon Console graphical user interface.

    Video Review is a software feature that allows the surgeon to record surgical case video on the da Vinci Surgical System IS5000, create bookmarks, and review the video and bookmarks intraoperatively.

    AI/ML Overview

    The provided FDA 510(k) clearance letter for the da Vinci Surgical System, IS5000 (K250442) describes modifications to an existing device, focusing on software and labeling updates for new features: Focused Mode, 3D Model Viewer, and Video Review. As such, the study described is primarily focused on demonstrating that these new features do not raise new questions of safety or effectiveness and that the modified device remains substantially equivalent to its predicate.

    Here's an analysis of the acceptance criteria and the study that proves the device meets them, based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly present a "table of acceptance criteria" with specific quantitative thresholds. Instead, it states that "All testing performed met its predetermined acceptance criteria and supports the subject device changes." The acceptance criteria are broadly described by the types of testing conducted and the regulatory guidance followed. The reported device performance is that these tests were met.

    Acceptance Criteria Category (Implied from document)Reported Device Performance (Implied from document)
    Software Verification and ValidationMet design requirements and user needs at unit, integration, and system levels. Complied with FDA Guidance "Content of Premarket Submissions for Device Software Functions."
    Human Factors InformationAddressed per recommendations for HF Submission Category 3 in FDA Draft Guidance "Content of Human Factors Information in Medical Device Marketing Submissions." Human factors validation testing was performed for impacted critical tasks.
    Cybersecurity TestingDemonstrated adequacy of implemented cybersecurity controls. Complied with FDA Guidance "Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions."
    Substantial EquivalenceDevice is substantially equivalent to the predicate device based on indications for use, device characteristics, and technological characteristics. The new features do not raise new questions of safety or effectiveness.

    2. Sample Size Used for the Test Set and Data Provenance

    The document does not specify a sample size for any of the testing conducted. It also does not specify the data provenance (e.g., country of origin, retrospective/prospective). The testing appears to be primarily focused on internal verification and validation of the software and human-device interaction rather than a clinical study involving patients or patient data.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications

    The document does not specify the number of experts used or their qualifications for establishing ground truth associated with the test set. For "Human Factors Information," it mentions that "human factors validation testing was performed for impacted critical tasks," which would typically involve user testing with representative users (e.g., surgeons). However, details about the number or qualifications of these users/experts are not provided.

    4. Adjudication Method for the Test Set

    The document does not specify any adjudication method (e.g., 2+1, 3+1, none) for the test set. Given the nature of the testing described (software V&V, human factors, cybersecurity), a formal adjudication process akin to clinical trial endpoint determination is generally not applicable or described in this type of submission summary.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    An MRMC comparative effectiveness study was not conducted. The submission focuses on modifications to an existing surgical system and primarily addresses safety and effectiveness through software, human factors, and cybersecurity testing, rather than comparative clinical outcomes with human readers or AI assistance. The new features (Focused Mode, 3D Model Viewer, Video Review) are enhancements to the user interface and functionality, not diagnostic aids or AI-driven decision support tools that would typically warrant an MRMC study.

    6. Standalone (Algorithm Only Without Human-in-the-Loop) Performance Study

    A standalone performance study of an algorithm without human-in-the-loop performance was not conducted or described. The da Vinci Surgical System is, by definition, a human-in-the-loop system controlled by a surgeon. The new features described are intended to assist the surgeon (e.g., displaying 3D models, reviewing video) rather than operate autonomously.

    7. Type of Ground Truth Used

    The type of "ground truth" used is not explicitly specified in terms of clinical outcomes, pathology, or expert consensus on a test set. Instead, the "ground truth" for the testing performed likely refers to:

    • Design Requirements: For software V&V, the "ground truth" is that the software performs according to its specified requirements and user needs.
    • Usability Objectives: For human factors testing, the "ground truth" is that critical tasks can be performed safely and effectively by intended users without unacceptable use errors.
    • Security Standards: For cybersecurity testing, the "ground truth" is adherence to established cybersecurity best practices and the mitigation of identified vulnerabilities.

    8. Sample Size for the Training Set

    The document does not specify a sample size for any training set. As the modifications described are for software features (Focused Mode, 3D Model Viewer, Video Review) that enhance the control system but do not appear to involve machine learning models that require a "training set" in the traditional sense, this information is not applicable or provided.

    9. How the Ground Truth for the Training Set Was Established

    As there is no mention of a training set in the document, information on how its ground truth was established is not provided. The system enhancements are described as software functionalities rather than machine learning algorithms that would typically rely on labeled training data and an associated ground truth establishment process.

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