Can AI Predict Heart Attacks?

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SAN DIEGO, Calif. (Ivanhoe Newswire) – Artificial intelligence is revolutionizing the healthcare landscape, particularly in cardiovascular medicine. From precise diagnosis to personalized treatment plans, medical professionals are leveraging AI technologies to help save lives.

“I think AI allows us to do things that we couldn’t really do before. It can see things that we couldn’t necessarily see before,” says Professor of Radiology at UC San Diego Health, Albert Hsiao.

Dr. Hsiao’s team at UC San Diego School of Medicine has created an AI algorithm that measures heart function and detects heart disease earlier than ever before.

“There are algorithms that we’ve developed for enhancing the image quality, giving you image details that you couldn’t get before,” Dr. Hsiao adds.

Leading to more precise diagnoses and better treatment plans. At the Mayo Clinic, experts are using AI assisted screening programs to diagnose and treat strokes faster in the ER, and engineers at UCSD have developed this wearable ultrasound device the size of a postage stamp. Using AI tech, it helps doctors diagnose cardiovascular disease. But how accurate is AI? A study out of Stanford University determined AI outperformed human assessments.

Dr. Hsiao explains, “Things that take years and years to train an expert physician to do, these algorithms can do automatically and give even non-experts an ability to see the abnormality.”

Just a few ways AI is already helping to save hearts and lives.

“AI is going to be a powerful tool that allows us to get to that answer faster and more accurately,” Dr. Hsiao says with hope.

The Mayo Clinic is currently studying using AI to predict stroke risk and using smart clothing to detect arrhythmias.

Contributors to this news report include: Marsha Lewis, Producer; Matt Goldschmidt, Videographer; Sharon Dennis, Editor.

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MEDICAL BREAKTHROUGHS

RESEARCH SUMMARY

TOPIC:          CAN AI PREDICT HEART ATTACKS?

REPORT:        MB #5338

BACKGROUND: “Heart disease” is a broad term that refers to a range of conditions affecting the heart. These conditions can affect the heart’s structure or function and may lead to various complications. There are several types of heart diseases: coronary artery disease, heart failure, arrythmias, valve disorders, cardiomyopathy, and congenital heart defects. Heart disease is the leading cause of death in the world, claiming at least 18 million lives every year. One out of three premature heart disease deaths happen in people under the age of 70.

(Sources: https://www.cdc.gov/heartdisease/about.htm

https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1)

DIAGNOSING: Heart disease can sometimes go undiagnosed until that person has symptoms. Some signs and symptoms of heart disease depend on what type of heart disease occurs. For a heart attack, symptoms can include chest pain, neck pain, indigestion, and/or shortness of breath. For arrythmias, symptoms can include palpitations, and for heart failure, symptoms can include shortness of breath, swelling of lower limbs, and/or fatigue. Doctors can diagnose heart diseases with a series of tests that include: ECGs or EKGs, Holter monitoring, echocardiograms, exercise or stress tests, cardiac catheterization, heart CT scans, and/or heart MRIs.

(Sources: https://www.cdc.gov/heartdisease/about.htm

https://www.mayoclinic.org/diseases-conditions/heart-disease/diagnosis-treatment/drc-20353124)

NEW TECHNOLOGY: AI is changing the medical field every day. A research team at UC San Diego is using AI to help them detect heart diseases in patients. “Professor Albert Hsiao is a researcher at the UC San Diego’s School of Medicine. They debuted a new artificial intelligence, AI, algorithm that allows physicians to measure heart function and detect heart disease from MRI images, which could help precisely diagnose future patients.”

(Source: https://spectrumnews1.com/ca/la-west/health/2023/09/27/detecting-heart-disease-with-artificial-intelligence#:~:text=SAN%20DIEGO%20—%20Researchers%20with%20the,heart%20disease%20from%20MRI%20images.)

FOR MORE INFORMATION ON THIS REPORT, PLEASE CONTACT:

Jeanna Vazquez

jbvazquez@health.ucsd.edu

If this story or any other Ivanhoe story has impacted your life or prompted you or someone you know to seek or change treatments, please let us know by contacting Marjorie Bekaert Thomas at mthomas@ivanhoe.com