AI and Machine Learning in Cardiovascular Disease Studies: University of Ottawa’s Data Science Centre

2024-03-26 15:08:05

AI AI artificial intelligence artificial intelligence
AI AI artificial intelligence artificial intelligence

University of Ottawa scientists reported on the introduction of AI models into their work for the study of cardiovascular diseases.

A digital innovation center has opened at the University Heart Institute. The main goal is the wider introduction of neural networks and machine learning into the process of diagnosing diseases and caring for patients.

“This is a place where people come from different backgrounds and backgrounds, but the common language is data,” said Jody Edwards, director of the research program.

image1-141One of the halls of the Digital Innovation Center. Data: University of Ottawa.

The center includes offices and laboratories where multidisciplinary teams process data to conduct scientific trials and inform medical care. The project is designed to unite employees from different departments who previously did not have the opportunity to work together.

“The adoption of AI is critical to our healthcare system, which is faced with an aging population and an increasing shortage of qualified professionals,” added Edwards.

Research Chair Christopher Sun uses Big Data analysis and neural networks to identify patients at greatest risk of cardiac arrest. It also uses AI to study surgical processes to improve efficiency.

Using new technologies, Sun is addressing the shortage of medical workers and optimizing operating room scheduling.

According to University staff, the introduction of AI provides necessary treatment to those who need it most.

“Integrating machine learning is a very important step in an environment where the medical system is resource-constrained,” Sun said.

In collaboration with McGill University, the Digital Innovation Center will become a portal for integrated data across neuroscience, mental health and cardiology.

Recall that in February, scientists at the University of California found a way to use AI to predict Alzheimer’s disease seven years before the onset of symptoms.

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