Clinical Research

The central illustration from a study that shows the impact of ECG AI algorithm study case and control selection to train artificial intelligence to better screening patients for cardiac amyloidosis. Image courtesy of JACC Advances.

Using ECG AI to find the cardiac amyloidosis needles in the haystack

Early detection of cardiac amyloidosis is leads to the best outcomes, but it is often missed until later stages. AI is being developed to help detect these patients earlier using ECG and echo.

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Even moderate alcohol use increases risk of high blood pressure, new meta-analysis confirms

Researchers explored data from 23 different studies, identifying a “positive and almost linear association” between alcohol consumption and hypertension. 

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Imaging research suggests Viagra could slow or prevent vascular dementia

A new study suggests sildenafil, known by its brand name Viagra, can improve cerebrovascular function and minimize the risk of cognitive impairment caused by small vessel disease. 

Hearing aids help slow brain aging in individuals with mild cognitive impairment

Hearing aids help stall brain aging, new imaging study shows

For people with auditory impairment, hearing aid use could slow metabolic decline in regions of the brain associated with cognitive function.

Paul Zei, MD, director of the comprehensive atrial fibrillation program at Brigham and Women’s Hospital, explained key findings from the late-breaking REAL-AF Registry at the Heart Rhythm Society (HRS) 2024 conference. This registry study evaluated the short- and long-term outcomes of radiofrequency ablation (RF) in treating both paroxysmal atrial fibrillation (PAF) and persistent atrial fibrillation (PsAF), revealing significant advancements in procedural techniques and patient safety. #EPeeps #HRS2024

Interest growing in fluoroscopy-free workflows during RF ablation

Paul Zei, MD, discusses late-breaking data from the REAL-AF Registry, which looked at the short- and long-term outcomes of radiofrequency ablation in paroxysmal and persistent atrial fibrillation.

doctor examines patient data on their tablet

Engineers team with cardiologist to rethink heart pump assessments

The group’s work is focused on how signal processing technologies and machine learning can track the health of VADs and the patients who need them. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

AI uses imaging results to ID high-risk TAVR patients with speed, accuracy

Researchers developed an advanced AI model capable of extracting measurements from unprocessed CT images in seconds. It then uses those data to evaluate the patient's mortality risk if they underwent TAVR.

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Wake Forest receives $1.5 million to fund imaging study aimed at bone loss after bariatric surgery

The funding will go toward the Strategies to Reduce the Onset of Sleeve Gastrectomy Associated Bone Loss (STRONG BONES) trial.