結合先進的電腦模型、運算資源和特定應用解決方案的功能,讓臨床社群能夠接受電腦模擬解決方案,為病人提供更安全、更有效的治療。
No two patients are identical, and not every disease or surgical repair can be diagnosed or performed the same way. Clinicians are increasingly turning to extensively validated computer models of specific patients to plan surgical procedures, treatment protocols, and communicate with patients and their families. Ansys, part of Synopsys, provides in silico technologies, such as computational modeling and simulation (CM&S), artificial intelligence (AI), and digital twins, clinicians can use to improve the health of humanity. By democratizing simulation, clinicians can benefit from insights from multiphysics models without being expert simulation users.
Accurate modeling of the complexities of human and animal physiology can validate a medical device's performance in its working environment.
Digital twins based on extensively validated patient models help clinicians predict the evolution of pathologies, ushering in the era of participatory, personal, predictive, and preventive medicine.
Validated patient-specific models within an application-specific solution enable clinicians to evaluate surgical procedures and test different protocols rapidly in advance.
By using CM&S, healthcare providers can simulate various treatments and predict their outcomes, ensuring interventions are tailored to each patient’s unique condition.
Below is a curated list of success stories and thought leadership from our colleagues, customers, and partners around the world using simulation to advance medical devices.
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