Nail It! A learning framework for autonomous surgical suturing and teleoperation on the dVRK - Scorecard - MDSpire

Nail It! A learning framework for autonomous surgical suturing and teleoperation on the dVRK

  • By

  • Luigi Muratore

  • Matteo Pescio

  • Federica Barontini

  • Francesco Marzola

  • Pietro Leoncini

  • Carlo Alberto Ammirati

  • Alberto Arezzo

  • Giulio Dagnino

  • Giuseppe Averta

  • July 2, 2026

  • 0 min

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Clinical Scorecard: Mastering Surgical Suturing: A Framework for Independent Learning and Remote Operation on the dVRK System

At a Glance

CategoryDetail
ConditionRobotic-assisted surgery
Key MechanismsAutomation of surgical suturing through learning-based methods and simulation frameworks
Target PopulationSurgeons and surgical robotics researchers
Care SettingSurgical robotics research and training environments

Key Highlights

  • Robotic-assisted surgery enhances dexterity and precision in minimally invasive procedures.
  • Suturing is a complex task that benefits from automation to reduce surgeon workload.
  • Current autonomous suturing approaches face challenges due to limitations in simulation environments.
  • Nail It! is a new simulation framework designed to improve training for autonomous suturing.
  • The framework integrates Unity with ROS for real-time simulation and control.

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Clinical Best Practices

          • Utilize high-fidelity simulation environments for training in robotic-assisted surgery.
          • Incorporate learning-based methods to enhance suturing techniques.
          • Ensure accurate kinematic modeling for effective simulation of surgical tasks.

          Related Resources & Content

          Original Source(s)

          Nail It! A learning framework for autonomous surgical suturing and teleoperation on the dVRK

          • by Luigi Muratore, Matteo Pescio, Federica Barontini, Francesco Marzola, Pietro Leoncini, Carlo Alberto Ammirati, Alberto Arezzo, Giulio Dagnino, Giuseppe Averta

          • July 2, 2026

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