Research

AI Predicts if - and When - Someone will have Cardiac Arrest

A new artificial intelligence-based approach can predict, significantly more accurately than a doctor, if and when a patient could die of cardiac arrest. The technology, built on raw images of patient's diseased hearts and patient backgrounds, stands to revolutionize clinical decision making and increase survival from sudden and lethal cardiac arrhythmias, one of medicine’s deadliest and most puzzling conditions.

Telemedicine can Mitigate Barriers for Access to Obesity Care, Weight Loss Management

Telemedicine offers emerging opportunities to reduce barriers to obesity care faced by healthcare providers, patients and health plans, according to a paper published online in Obesity, The Obesity Society’s flagship journal.

It has been estimated that by 2030 nearly 80% of adults in the United States will have pre-obesity or obesity.

AI Shows Potential in Breast Cancer Screening Programs

A major new study in Radiology shows that artificial intelligence (AI) is a promising tool for breast cancer detection in screening mammography programs.

Mammograms acquired through population-based breast cancer screening programs produce a significant workload for radiologists. AI has been proposed as an automated second reader for mammograms that could help reduce this workload.

Image-Based ECG Algorithm Improve Access to Care in Remote Settings

Researchers at the Yale Cardiovascular Data Science (CarDS) Lab have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, regardless of format or layout, to diagnose multiple heart rhythm and conduction disorders.

Innovative AI Technology Aids Personalized Care for Diabetes Patients Needing Complex Drug Treatment

Hitachi, Ltd. (TSE: 6501, Hitachi), University of Utah Health (U of U Health), and Regenstrief Institute, Inc. (Regenstrief) announced the development of an AI method to improve care for patients with type 2 diabetes mellitus who need complex treatment. One in 10 adults worldwide have been diagnosed with type 2 diabetes,

AI Enables Personalized Treatment of Myocarditis

Myocarditis (inflammation of the heart muscle) is usually caused by viruses, e.g. in COVID-19 disease. However, it can also be induced by medication, toxic substances or in the context of a rheumatological disease. Clinical assessment is difficult due to widely varying symptoms, from fatigue to chest pain, palpitations, shortness of breath, and, rarely, sudden cardiac death, the latter associated with sports activity.

Pilot Study Suggests AI could Help Assess, Improve Heart Transplant Outcomes

Heart transplantation can be a lifesaving operation for patients with end-stage heart failure. However, many patients experience organ transplant rejection, in which the immune system begins attacking the transplanted organ. But detecting transplant rejection is challenging - in its early stages, patients may not experience symptoms, and experts do not always agree on the degree and severity of the rejection.

Research News

AI Predicts if - and When - Someone will have Cardiac Arrest

Telemedicine can Mitigate Barriers for Access to Obesity Care, Weight Loss Management

AI Shows Potential in Breast Cancer Screening Programs

Image-Based ECG Algorithm Improve Access to Care in Remote Settings

Innovative AI Technology Aids Personalized Care for Diabetes Patients Needing Complex Drug Treatment

AI Enables Personalized Treatment of Myocarditis

Pilot Study Suggests AI could Help Assess, Improve Heart Transplant Outcomes

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