Meet AISER, a tool integrating Artificial Intelligence, Computer Simulations and Extended Reality to provide recommendations to interventional cardiologists as well as a way to better inform and involve patients and their families
Complex medical interventions can greatly benefit from digital technologies. A successful example comes from the University of Miami Miller Center for Digital Cardiovascular Innovations, where Artificial Intelligence (AI), Computer Simulations and Extended Reality (ER) are employed in an integrated system called AISER. The goal is to support early decision-making and accelerate procedures to improve patient outcomes.
Currently, interventions like the placement of stents to open blockages in coronary arteries are highly effective. However, up to 30% of the patients require follow-up treatments. With the employment of AISER, it is possible to improve intervention outcomes as it helps create a digital twin of the patient's arteries, allowing interventional cardiologists to clearly visualise the area of intervention and model the outcomes of different stent implantation scenarios, thus helping choose what's best for each particular blockage. With this integrated tool, the physician received recommendations about the type of stent, technique, design, position, diameter, and length. All such information can serve as a guidance to deliver better care for the patient.
The digital twin, produced from various imaging techniques, including MRI, CT, and echocardiogram, can also help inform patients and their families. By showing 3D simulations of the patient's specific anatomy, the physician can better describe the upcoming procedure, helping patients and their families to familiarise themselves better and feel more comfortable towards the upcoming surgical procedure.
The Division of Cardiovascular Medicine at the University of Miami Miller School of Medicine is directed by Dr. Yiannis Chatzizisis. It encompasses various areas of expertise, including biomedical engineers, computer scientists, AI and computer vision experts, physicians, and biologists.
Further resources:
Developing Leading-Edge Computational Tools at the Center for Digital Cardiovascular Innovations: https://news.med.miami.edu/ai-technology-heart-care/
