In Silico Simulation and AI in Traumatology
Personalize and secure surgery through digital twins and artificial intelligence
IsiTwin is a MedTech company that develops a software platform based on artificial intelligence and engineering to assist in the planning of personalized surgical procedures in orthopedics and traumatology. We help surgeons determine how to reduce bone fractures and optimize the quantity, features, and placement of implantable medical devices based on the patient’s unique characteristics, through the creation of a digital twin and the use of artificial intelligence.
IsiTwin: Pioneers in In Silico Medicine
Established in November 2022, IsiTwin emerged from a collaborative effort of a multidisciplinary team, uniting skills in biomechanical engineering, clinical care, commerce, and law. Strategically located at the Futuroscope technology park near Poitiers, we garnered early-stage support from Neoloji – Technopole of Grand Poitiers, facilitated by their business incubator. In April 2023, we achieved a landmark milestone by formalizing a scientific collaboration with the University Hospital of Poitiers, the French National Centre for Scientific Research (CNRS), and the University of Poitiers. This pivotal alliance amplifies our dedication to advancing the frontiers of innovation and research in digital twins within the healthcare sector.
Today, IsiTwin is firmly focused on developing and deploying innovative solutions based on digital twins and artificial intelligence, with the aim of guiding orthopedic and trauma surgeons toward safer and more effective interventions.
The name IsiTwin stands for ‘In Silico Twin,’ a nod to the revolutionary field of in silico medicine that employs computational modeling and simulation for diagnostics, treatment planning, disease prevention, and product development.
At IsiTwin, we recognize the unique complexities of each patient and their conditions, especially in the realms of orthopedics and traumatology. We firmly believe that the future of personalized medicine lies in the utilization of patient-specific digital twins. These digital replicas will soon play a pivotal role in determining the most suitable implants and surgical procedures tailored to each individual’s unique needs.
IsiTwin was founded with the mission to provide both clinicians and patients with the assurance of the most appropriate surgical actions tailored to the specific trauma, taking into account the nature of the fracture, the patient’s unique characteristics, and the available medical equipment.
Our ultimate goal is to enhance surgical outcomes and improve the long-term quality of life for each patient, leveraging the power of artificial intelligence and digital twins.
Our Software Platform
Our cloud-based software platform offers secure and ubiquitous access to a comprehensive suite of features for surgical planning in orthopedics and traumatology. From predicting the healthy shape of a fractured bone to providing personalized biomechanical assessments of various surgical scenarios, every aspect of our solution is engineered to optimize clinical outcomes while minimizing patient-associated risks.
Visualization and Measurements
Upload and view the patient’s medical images in 3D on our secure cloud platform. Perform measurements directly on the 3D reconstructions or on the 2D slices.
Prediction of the Healthy Shape of the Fractured Bone
The unique strength of our artificial intelligence algorithm lies in its ability to predict the healthy shape of a fractured bone, providing invaluable insights for the optimal realignment of bone fragments. Proper realignment is crucial for preventing pain, osteoarthritis, and preserving bone function.
Creation of Surgical Scenarios
Our user-friendly interface streamlines the creation of various surgical scenarios by guiding the user through the optimal selection and positioning of surgical devices, such as plates and screws.
Biomechanical Assessment of Surgical Scenarios
A major advantage of our software is its ability to perform personalized biomechanical assessments for each surgical scenario. This feature allows for the evaluation of re-fracture risks, identification of bone fragment movement, and prevention of excessive bone callus formation that could hinder healing. Through these analyses, clinicians can swiftly select an osteosynthesis approach that effectively stabilizes the fracture while minimizing the invasiveness of the surgical procedure.
For AI and digital twin-based assistance in surgical planning.
For the Surgeon
Personalized, intuitive surgical planning that minimizes the risk of complications.
For the Patient
The assurance of the most suitable surgery for optimized recovery and long-term quality of life.