The Real-Time Digital Twin Assisted Surgery Project
What is DTAS?
The Digital Twin Assisted Surgery (DTAS) is an advanced medical technology that uses computer-generated, virtual 3D models of individual patients (called digital twins) to improve surgical planning and decision-making.
Imagine creating a detailed virtual copy of a patient’s body, including their organs, blood vessels, and tumours. Surgeons can use this model to simulate the surgery in advance, identify risks, and plan the best possible approach for that specific person, even before stepping into the operating room.
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The integration of real-time modelling in DTAS allows the digital twin to respond dynamically to intra-operative changes, offering adaptive anatomical guidance throughout the procedure—a major advancement over static preoperative imaging.
How does it work?
DTAS combines several technologies into one powerful system:
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Medical Imaging & Data Collection
We use MRI, CT scans, ultrasound, and clinical data to gather detailed information about the patient.
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Digital Twin Creation
A virtual replica of the patient is built using this data. It looks like a 3D map of their internal anatomy.
Tumours, organs, and blood vessels are accurately reconstructed.
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Surgical Simulation & Planning
Surgeons use the digital twin to test different approaches to surgery.
They can simulate complex steps, and predict complications.
This allows for precise, personalised planning tailored to the patient.
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Risk Prediction & Outcome Modelling
The system also uses artificial intelligence (AI) to highlight areas of concern, such as bleeding risk or difficult tumour locations. DTAS is a game changer because its virtual organ models can update in real time, adapting as the surgery progresses, giving surgeons a dynamic guide, not just a snapshot.