RUS

by Hutom  · Based in South Korea → — Redefining Surgical Standards with AI-Powered 3D Visualization
Cardiothoracic Surgery General Surgery Neurosurgery
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Regulatory Status Disclosed

Overview

Hutom’s RUS (Reshaping and Unraveling Surgery) is a revolutionary AI-powered surgical navigation platform designed to enhance precision and safety in complex surgical procedures. It is a core component of Hutom’s broader AI Surgical Platform, which offers a comprehensive solution for preoperative rehearsal, intraoperative navigation, and post-operative analysis.

RUS leverages advanced AI-based 3D reconstruction technology to transform conventional 2D CT images into highly detailed, patient-specific 3D anatomical models. This allows surgeons to visualize critical structures, simulate surgical procedures, and plan optimal approaches before entering the operating room.

The platform includes specialized solutions such as RUS GA for gastric surgery, RUS NE for kidney surgery (partial nephrectomy), and RUS LUNG for thoracic surgery, each tailored to provide intelligent 3D mapping and visualization for specific anatomical challenges. RUS has received recognition for its intuitive user interface and user experience, which mirrors real-life surgical workflows to facilitate adaptation and provide critical information effectively during surgeries.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Real-time 3D visualization system
  • AI-based 3D reconstruction from CT images
  • Patient-specific 3D anatomical models
  • Virtual tumor resection simulation
  • Surgical simulation for optimal port placement
  • Preoperative rehearsal capabilities
  • Intraoperative navigation assistance
  • Post-operative analysis and review
  • Intuitive UI & UX mirroring surgical workflows
  • Light & Dark Modes for reduced eye strain

Use Cases

  • Revolutionizing gastrectomy with advanced 3D visualization (RUS GA)
  • Redefining partial nephrectomy with intelligent 3D mapping (RUS NE)
  • Enhancing safety and precision in thoracic surgery (RUS LUNG)
  • Personalized surgical planning and simulation
  • Surgical video data analysis and review
  • Improving overall surgical precision and patient safety

What Physicians Need to Know

Surgical Planning Capabilities
RUS (Reshaping and Unraveling Surgery) is an AI-powered surgical navigation platform that transforms 2D CT images into 3D anatomical models using deep learning. It assists surgeons in pre-operative planning by providing patient-specific anatomical insights. Key features include virtual tumor margin setting, pre-surgical resection simulation, and remnant kidney volume estimation. It also offers a patented pneumoperitoneum model to replicate real surgical conditions for optimal port placement planning.
Intraoperative Guidance
RUS provides real-time 3D visualization during surgery, enhancing a surgeon's understanding of the patient's anatomy. It can be used for both robotic and laparoscopic surgeries, supporting 2D and 3D views. During an operation, surgeons can check the location of important vessels using the 3D endoscope view, which offers the same perspective as the actual operation.
3D Reconstruction Quality
Hutom's AI analyzes CT images to automatically segment organs and vessels, reconstructing a 3D anatomy model and labeling major blood vessels. It also automatically registers inaccurate positions of arteries and veins caused by movement errors to their actual locations. The platform uses deep learning to reconstruct 3D anatomical images from 2D CT images.
Robotic Surgery Integration
RUS can be used with robotic surgery, supporting both 2D and 3D views. Robotic surgery is evolving towards smart operating systems that integrate digital surgery ecosystems for real-time guidance and precision support in the operating room. Hutom's work with Ray and PyTorch scales surgical video analysis for deep learning models, which is crucial for robot-assisted surgeries.
Surgical Navigation Accuracy
RUS aims to improve surgical accuracy. It provides patient-specific anatomical insights and virtual tumor resection simulation to enhance the precision of surgical planning. The system also includes patented technologies for automatic calibration of vein and artery positions.
Pre-Operative Assessment
RUS is utilized for pre-operative assessment by allowing surgeons to understand a patient's unique anatomy through 3D models and simulate port placement for surgical endoscopes and instruments. It enables detailed planning by providing personalized anatomical insights and virtual tumor margin setting.
Post-Operative Monitoring
Hutom's SurgGram platform, which is related to RUS, offers a post-operative patient care program with AI analysis for personalized care. While RUS itself focuses on planning and guidance, the broader Hutom ecosystem addresses post-operative aspects.
Complication Prediction
Hutom's products, including RUS, aim to forecast outcomes, recognize intraoperative events, and manage patient complications. The detailed surgical planning and navigation capabilities of RUS are designed to minimize risks like vascular and ureteral damage, thereby potentially reducing complications.
Operating Room Workflow Integration
RUS is designed with an intuitive UI and UX that mirrors real-life surgical workflows, enabling faster adaptation and a familiar environment for surgeons. The platform integrates with the digital surgery ecosystem to provide real-time guidance and support in the operating room. Integrated OR systems aim to streamline workflows, reduce errors, and provide real-time access to critical patient information.
Physician Tip

RUS enhances surgical precision and safety by providing detailed, patient-specific 3D anatomical models and simulation capabilities. Utilize the virtual tumor resection simulation and remnant kidney volume estimation for meticulous planning, especially in complex cases. The real-time 3D endoscope view can significantly improve intraoperative decision-making and understanding of critical structures. For robotic and laparoscopic procedures, leverage the 2D and 3D views for comprehensive guidance. The intuitive interface is designed to integrate seamlessly into existing surgical workflows, minimizing disruption and maximizing efficiency. Consider how the detailed pre-operative assessment can be used for patient education and consent, as well as for team briefing.

RUS integrates with existing hospital systems by receiving CT scan images from the hospital's H server. The H server anonymizes patient information before sending images to Hutom's HCloud for AI analysis and 3D model reconstruction. The reconstructed 3D models are then sent back to the H server, and can be downloaded to the RUS client on a tablet for surgical simulation. Hutom also utilizes Ray and PyTorch for scalable surgical video analysis, indicating a robust backend for data processing and model deployment. Hutom has a co-promotion agreement with Johnson & Johnson MedTech Korea for the RUS platform.

Details

Category Surgical AI
Pricing Contact for pricing
DeploymentSoftware (likely cloud-based or on-premise for hospital systems)
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Cardiothoracic Surgery, General Surgery, Neurosurgery

What the Web Says

Hutom's RUS (Reshaping and Unraveling Surgery) is an AI-powered surgical navigation platform that transforms 2D CT images into 3D anatomical models for enhanced surgical planning and real-time guidance during operations. It aims to improve precision and safety in various surgeries, including gastrectomy, kidney, and thoracic operations. The platform has received regulatory approvals, including FDA clearance for RUS Stomach and PMDA approval in Japan for RUS Kidney. Hutom collaborates with medical institutions and has a co-promotion agreement with Johnson & Johnson MedTech Korea for RUS in gastric and kidney cancer surgeries.

Overall: Positive

Strengths

  • Transforms 2D CT images into detailed 3D anatomical models for surgical planning.
  • Provides real-time surgical navigation and visualization.
  • Enhances precision and safety in surgeries.
  • Utilizes AI for automatic segmentation and labeling of organs and vessels.
  • Includes patented technologies like virtual pneumoperitoneum modeling for realistic surgical simulation.
  • Aids in pre-operative, intra-operative, and post-operative surgical care.

Limitations

No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.

Based on reviews from: g2.com, hutom.io, healthcareaiops.com, healthaidb.com, github.io, teaserclub.com, koreabiomed.com, dealroom.co, youtube.com, mdpi.com

Last updated: 2026-10-30

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Press & Coverage

HEALTH IN NEWS
Hutom Secures Hong Kong Approval for AI-Powered Surgical Navigation Solutions
Hutom announced on August 29, 2025, that its gastric and renal surgery assistance solutions, RUS GA and RUS NE, along with its 3D modeling software, RUS CREATOR, have been registered with Hong Kong's medical device regulatory authority. This approval facilitates Hutom's commercial launch in Hong Kong and marks a significant step in its global expansion.
2025-08
Korea Biomedical Review
J&J MedTech and Hutom to co-promote AI-based surgical navigation platform
Johnson & Johnson MedTech Korea entered into a co-promotion agreement with Hutom in May 2024 for the RUS platform, an AI-powered surgical navigation system. This collaboration aims to expand the use of RUS for gastric and kidney cancer surgeries in South Korea.
2024-05
hutom.io
RUS Kidney Achieves PMDA Approval in Japan!
Hutom's RUS Kidney surgical navigation software received approval from Japan's PMDA, a significant milestone for precise and safe partial nephrectomies in the Japanese healthcare market. This AI-based 3D reconstruction technology offers patient-specific anatomical insights and virtual tumor resection simulation.
2024-12
hutom.io
FDA Clearance for 'RUS Stomach'
Hutom announced FDA 510(k) clearance for its 'RUS Stomach' solution, indicating its recognition as a safe and effective medical device in the United States. This clearance allows the platform, which converts 2D CT images into interactive 3D anatomical models for surgical planning, to be marketed and used in the U.S.
2024-07
Frontiers in Oncology (via NIH.gov)
Patient-specific virtual three-dimensional surgical navigation for gastric cancer surgery: A prospective study for preoperative planning and intraoperative guidance
This study, published in February 2023, evaluates the feasibility of RUS, a patient-specific virtual surgical navigation system, for robotic gastrectomy. It highlights RUS's ability to provide a virtual surgical environment with pneumoperitoneum, resembling actual operative conditions, for preoperative planning, anatomy simulation, and intraoperative navigation.
2023-02
hutom.io
Hutom Selected for the 2025 AI+X Top 100!
Hutom was recognized in the 2025 AI+X Top 100 list by the Korean Artificial Intelligence Industry Association (AIIA), acknowledging its leadership in AI innovation within the healthcare sector.
2025-01
Red Dot Design Award
RUS Wins the 2024 Red Dot Design Award
RUS Surgical Navigation, developed by Hutom, received the Red Dot Design Award in 2024 for its intuitive interface and design that simplifies complex surgical data for surgeons. The design mirrors actual surgical procedures to enhance familiarity and ease of use.
2024-11
International Journal of Urology (via NIH.gov)
Assessment of feasibility and outcomes of RUS surgical navigation system during robot-assisted partial nephrectomy for small renal masses
This study, published in 2025, assesses the feasibility and outcomes of using the RUS surgical navigation system during robot-assisted partial nephrectomy for small renal masses. It highlights the system's ability to provide precise anatomical delineation and improve workflow efficiency.
2025-05

Videos

Product demos, reviews, and walkthroughs for RUS.

View all on YouTube

Frequently Asked Questions

Hutom's RUS (Reshaping and Unraveling Surgery) is an AI-powered surgical navigation platform designed for minimally invasive surgery. It transforms 2D CT images into detailed 3D anatomical models using deep learning, assisting surgeons with pre-operative planning and providing real-time navigation during operations. The system helps surgeons understand patient-specific anatomy, simulate procedures, and visualize critical structures like vessels during surgery.
Hutom's RUS is designed to comply with various regulatory standards. It has received FDA 510(k) clearance in the U.S. and PMDA approval in Japan for specific applications like RUS Kidney and RUS Stomach. The platform also adheres to data privacy regulations such as HIPAA, GDPR, HITECH, SOC 2, and ISO 27001.
While Hutom's RUS is a specialized surgical navigation platform, the broader field of surgical AI includes various tools for real-time surgeon assistance, imaging recognition, and surgical analysis. Other companies offer AI and machine learning operationalization software, but direct like-for-like alternatives specifically for Hutom's RUS surgical navigation platform are not explicitly detailed as direct competitors in the provided search results.
While RUS enhances surgical precision, some studies acknowledge limitations, such as the generalizability of findings from specific study cohorts. The effectiveness of AI in surgery, including systems like RUS, is also highly dependent on the quality of input data. Additionally, integrating new technologies into existing operating room setups can present challenges.
Hutom's RUS platform handles patient information by anonymizing CT images before sending them to a secure cloud for AI analysis. The system is designed to comply with stringent data privacy regulations, including HIPAA, GDPR, HITECH, SOC 2, and ISO 27001, ensuring secure and efficient handling of surgical data within a protected network.
Hutom's RUS platform is designed for various minimally invasive surgeries, with specific solutions developed for gastric (RUS GA), kidney (RUS Kidney/RUS NE), and lung (RUS LUNG) procedures. It supports both robotic and laparoscopic surgeries, providing 2D and 3D views during operations.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18
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