SurgiTwin
Overview
SurgiTwin is an AI-powered Software as a Medical Device (SaMD) platform developed by Twinsight, specializing in orthopedic surgical planning. It is designed to revolutionize preoperative planning, particularly for total knee replacement surgeries. The tool leverages advanced machine learning algorithms to create a personalized digital twin of the patient based on their CT scans. This digital twin enables surgeons to visualize and plan procedures in 3D, compare different alignment strategies, and optimize implant positioning with high accuracy and reliability.
The technology incorporates proprietary AI techniques, including probabilistic modeling, reinforcement learning, and simulation at scale, to forecast impacts and test alternative strategies. SurgiTwin aims to significantly reduce operating room time, improve surgical precision, and contribute to better patient outcomes and satisfaction. While initially focused on total knee replacement, the platform’s tools can be adapted for other knee surgeries and procedures involving other joints such as the hip, spine, shoulder, or foot.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered personalized digital twin generation
- Automatic 3D templating based on patient clinical measurements
- Export surgery targets (cut values, implant sizes)
- Accurate, high-quality segmentation and clinical measurements
- AI-powered bone segmentation and labeling
- Automated anatomical landmarking
- Web-based platform for accessibility
- Comparison of different alignment strategies
- Simulation of therapeutic options and movement/function
- Reduction of operating room time
Use Cases
- Preoperative planning for total knee replacement surgery
- Personalized implant positioning and sizing
- Optimization of surgical strategies for improved patient outcomes
- Biomechanical simulation of bones and soft tissues
- Medical device design support using virtual patient cohorts
- Preoperative planning for other joint surgeries (hip, spine, shoulder, foot)
What Physicians Need to Know
Leverage SurgiTwinu2122 3D for comprehensive and personalized preoperative planning in total knee replacement, utilizing its AI-powered digital twin generation to explore various alignment strategies and optimize implant positioning. The rapid 3D reconstruction and automated measurements can significantly streamline the planning phase, allowing for more informed decision-making and potentially reducing operating room time. While the current version focuses on planning, stay informed about the upcoming SurgiTwinu2122 4D for its potential in dynamic movement modeling and anticipation of postoperative issues. Integrate the operational insights from the broader SurgiTwin platform to optimize surgical scheduling, resource allocation, and overall department workflow.
SurgiTwinu2122 is designed for seamless integration into existing hospital workflows, connecting with EMRs and other hospital systems to automate planning and resource allocation. This connectivity facilitates the transfer of patient imaging data for digital twin creation and the delivery of daily operational recommendations. The platform is web-based and operates as a Software as a Medical Device (SaMD), ensuring accessibility and compatibility within a modern IT environment.
Details
| Category | Surgical AI |
| Pricing | Contact for pricing |
| Deployment | Cloud |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Yes AI-estimated Twinsight received 510(k) clearance from the US Food and Drug Administration (FDA) for SurgiTwin™ (K250290) on August 28, 2025. It is cleared as a Software as a Medical Device (SaMD) for preoperative planning of total knee replacement procedures in adult patients over 22 years of age. |
| Integrations | |
| EHR | Not specified |
| Specialties | Orthopedics |
What the Web Says
SurgiTwin, developed by Twinsight, is an AI-powered software as a medical device (SaMD) platform designed for preoperative planning in total knee replacement surgeries. It aims to revolutionize traditional planning methods by creating personalized digital twins based on patient CT scans, offering 3D procedure plans, and integrating a digital implant library. The platform received FDA 510(k) clearance on August 28, 2025.
Overall: PositiveStrengths
- AI-powered personalized digital twin generation for precise 3D anatomical models
- Automatic landmark placement with high accuracy
- Interactive planning environment for surgeons to adjust and optimize surgical plans
- Reduces operating room time and contributes to better patient outcomes
- Transforms CT scans into actionable information with speed and accuracy
- Potentially leads to better surgical outcomes and improved patient satisfaction by accounting for individual patient anatomies
Limitations
- No specific cons were found in the provided search results from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra.
Based on reviews from: Orthopedics This Week, Sifio Health, accessdata.fda.gov, Twinsight
Last updated: 2026-07-19
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Mathieu RIMAUD Twinsight Finaliste Innovation jeunes pousses
