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Introducing artificial intelligence to the heart of healthcare – with the help of MIT | MIT News

Introducing artificial intelligence to the heart of healthcare with

Artificial intelligence is transforming industries around the world, and health insurance is no exception. A recent study at the Mayo Clinic found that AI-enhanced electrocardiograms (ECGs) have the potential to save lives by speeding up the diagnosis and treatment of heart attack patients in the emergency department.

Is the lead author of the study Dimilad “Demi” Addendisevo, A non-invasive cardiologist at the Mayo Clinic actively involves the latest AI types of cardiology care and focuses more on her learning experience. MIT Vocational Education.

Identify AI opportunities in health care

Adendisevo A., a dedicated professional Florida Mayo Clinic Women’s Health Specialist And Director of Research for the Cardiovascular Disease Cooperation Program. Her clinical research needs include the prevention of heart disease, women’s heart health, cardiovascular health anomalies, and the use of digital tools for cardiovascular disease management.

Addinsevo’s interest in AI arose at the end of her cardiovascular collaboration, and she began to learn about the potential for change in the healthcare field. “I began to think about how I could use AI tools in my field to promote health equality and alleviate cardiovascular care disparities,” she says.

During her membership in the Mayo Clinic, Adendisevo began exploring how AI could be used with ECG to improve clinical treatment. To determine the effectiveness of the approach, the team used an in-depth learning method to analyze ECG results in patients with respiratory distress. They then compared the results with the current standard and blood test – blood test analysis – to determine whether the improvement in AI improved the diagnosis of heart disease so that the heart could not pump enough blood to other parts of the body. She understood the clinical implications of the research, and found that the AI ​​components were challenging.

“Although I have a master’s degree in medicine and public health, those credentials are not enough to work in this space,” says Adindensevo. “I started looking for an opportunity to learn more about AI, so I could speak the language, bridge the gap and bring game-changing tools into my field.”

Closing the gap in MIT

Adendisevo’s desire to bring advanced data science and clinical care together led to her recently completed MIT vocational education. Professional Certification Program in Machine Learning and AI. So far she has also completed nine courses AI Strategies and Roadmap.

Adedinsevo says, “All courses are excellent. I especially appreciate the faculty, such as Professors Regina Barcelona, ​​Tommy Jacola, and Stephanie Jegalka, who have provided practical examples from the fields of healthcare and non-healthcare to illustrate what we are learning.

Addensevo’s goals are closely linked to the goals of AI-led Barcelona. MIT Jameel Clinic To learn the machines of health. “There are many areas of health care that can benefit from AI,” says Barcelona. “It’s a pleasure to have professionals like Demi join the conversation and help identify new ideas for high-impact AI solutions.”

Adadinsevo appreciated the opportunity to work and learn in a large MIT community with peers around the world, explaining that she learned different things from each person. “It’s great to get different perspectives from course participants who apply AI to other industries,” she says.

Implementing knowledge

Armed with her state-of-the-art AI tool kit, Adendisevo was able to make a meaningful contribution to Mayo Clinic research. The team successfully completed and Published Their ECG project in August 2020 with the promised results. In the ECG analysis of about 1,600 patients, the AI-enhanced system was faster and more efficient than the standard blood test (AUC) of 0.89, compared to -0.89. This improvement can improve health outcomes by improving diagnostic accuracy and increasing the speed at which patients receive appropriate treatment.

But the benefits of Addendisevo’s MIT experience go far beyond one project. Adedinsevo says the tools and strategies she has acquired have helped her communicate the complexities of her work more effectively and expand its impact. “I find it easier to explain research and AI strategies in general to my clinical colleagues. Now, ask people to call me and say, ‘I want to work on this project. Can I use AI to answer this question? ” She said.

Looking to an AI-powered future

What to do next for Adindisivo’s research? Acquisition of AI mainstream in the field of cardiology. Although AI tools are not currently widely used in evaluating patients at the Mayo Clinic, she believes they have the potential to have a significant positive impact on clinical care.

Addinsevo says: “These tools are still in the research stage. “But I hope that in the next few months or years we will be able to do more research on how to improve the care and outcomes for heart patients.”

Bhaskar Pant, Executive Director, MIT Vocational Education, says, “We at MIT Vocational Education are particularly pleased to be able to provide machine-oriented insights and tools for machine learning and to leading healthcare researchers from the MIT faculty to AI, such as Dr. Demi. Addendisenvo, which specializes in outstanding clinical care and health outcomes in the cardiovascular and other cardiovascular populations. This is very much in line with MIT’s mission of working with others for the betterment of mankind. ”





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