In May 2019, a cardiac surgeon at Boston Children's Hospital performed a complex heart surgery on a child after practicing the procedure dozens of times on a virtual twin of the patient's heart. The surgical and cardio-engineering teams created a fully functioning digital model from MRI and CT scans, converting medical imaging into a dynamic 3D replica that reproduced the heart's unique behavior, blood flow patterns, and tissue stresses.
Virtual twins represent a significant advancement in precision medicine, allowing medical teams to test surgical strategies before entering the operating room. These physics-based models go beyond traditional imaging by simulating how organs respond to specific interventions. The technology provides detailed diagnostic insights and enables surgeons to optimize procedures for each patient's exact anatomy.
The Boston case involved a rare heart defect where large holes between chambers caused blood to flow between all four heart chambers, straining the lungs. The planned open-heart surgery aimed to reroute deoxygenated blood directly to the lungs, bypassing the heart entirely. Using the virtual model, doctors could predict how the heart would respond to different cuts and stitches, testing multiple approaches to find the optimal strategy.
This technology addresses a critical challenge in complex surgeries where no manual or textbook provides complete guidance. Instead of making decisions under high-pressure conditions during surgery, medical teams can now evaluate options systematically beforehand. The approach could transform how surgeons prepare for high-risk procedures, potentially improving outcomes for patients with unique or rare conditions.