AI-enabled technology independently predicts cardiac events based on coronary inflammation

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By Erik Swain

PHILADELPHIA — An artificial intelligence-based technology that evaluates coronary inflammation predicted risk for cardiac events in patients undergoing coronary CTA, according to new study data.

In the ORFAN study presented at the American Heart Association Scientific Sessions, risk based on coronary inflammation was a strong predictor of cardiac events even in patients with no obstructive CAD showing no plaque or zero calcium score. Read the full article in Healio.

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Exploring Mayo Clinic’s AI Efforts to Enhance Organ Transplants

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Mayo Clinic experts share how the health system is researching and developing artificial intelligence tools to improve organ transplant outcomes.

Organ transplants represent one of many revolutionary advancements within the field of medicine over the past century. Since the first successful human kidney transplant in 1954, the number of treatment options for once life-threatening or incurable conditions, like kidney disease, has broadened significantly.

Organ transplant-related innovations like tissue typing, genomic sequencing, and antirejection drugs have helped spur progress in this area. But, in the future, clinicians may leverage more advanced approaches to improve patient outcomes. Read more in Health IT Analytics.

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$2.8M NIH Grant to Support Development of Kidney Transplant AI

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University of Florida Health researchers will use the funding to evaluate how artificial intelligence may help clinicians better predict kidney transplant outcomes.

By Shania Kennedy

September 29, 2023 – Researchers at University of Florida (UF) Health have been awarded a $2.8 million grant from the National Institutes of Health (NIH) to develop an artificial intelligence (AI)-based clinical decision support system to help improve kidney transplant outcomes.

As part of the five-year project, the research team will examine how AI models could assist with diagnosis, prediction, and care management for kidney transplant patients. Read more in Health IT Analytics.

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ChatGPT model provides appropriate recommendations for most CVD prevention queries

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A research version of the artificial intelligence language model ChatGPT appropriately responded to a majority of suggested CVD prevention questions, including complex topics like cholesterol management despite statin therapy.

“There has been a lot of media attention about ChatGPT and people are looking at its ability to answer complex questions across many fields,” Ashish Sarraju, MD, a preventive cardiologist at Cleveland Clinic, told Healio. Read more in Healio.

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New AI System Assists in Detecting Heart Transplant Reactions

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Developed by researchers at Brigham and Women’s Hospital, a new artificial intelligence system can help enhance heart transplant procedures by reducing the risk of immune system rejections.

To help improve heart transplants, investigators from Brigham and Women’s Hospital created an artificial intelligence (AI) system known as the Cardiac Rejection Assessment Neural Estimator (CRANE), which can help clinicians detect and manage adverse immune system reactions.

Although heart transplants can be lifesaving, there is a risk of the immune system rejecting and attacking the new organ that may go unnoticed by the patient, leading to severe medical problems.
Read more from Health IT Analytics.

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Together with Missouri S&T, Saint Louis University Researchers Use Artificial Intelligence to Improve Kidney Transplant Process

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ST. LOUIS, MO (11/18/2022) — With a new grant that brings together engineering expertise from Missouri S&T and medical expertise from Saint Louis University’s School of Medicine, researchers are investigating how artificial intelligence (AI) can support matchmaking between donated kidneys and transplant centers to help more patients in need. 

Thanks to a $1.8 million grant from the National Science Foundation (NSF) to lead site Missouri S&T, experts in AI and organ transplantation will work to ensure that more kidneys are able to be used by patients who urgently need them. Read more from Saint Louis University.

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AI could save lives by identifying relapse risk in potential liver transplant patients

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Predicting the variables that could lead to damaging alcohol use in post-surgical cases may spur lifesaving interventions, a USC study finds.

A screening tool developed with artificial intelligence and trained on hundreds of hours of patient interviews could flag risks for relapse in liver transplant patients with alcohol use disorder — and prompt precise interventions, according to a new USC study.
Read the full story from USC News.

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