Imaging Analytics

Computational models forecast pediatric heart valve leakage

April 24, 2024 - Researchers from the University of Oklahoma (OU) have developed computational models designed to predict heart valve leakage in children and help guide surgical decision-making. These tools identify the shape of a child’s valves, possible weak spots and how blood moves through the valves, which may allow clinicians to forecast the future...

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Machine learning framework captures uncertainty in medical images

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Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine. The...

MRI-based prostate cancer risk calculators prone to underprediction

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New research published in JAMA Network Open shows that magnetic resonance imaging (MRI)-based risk calculators can predict prostate cancer risk among adults in Europe and North America with some...

Deep learning tool targets ‘black box’ AI problem in medical imaging

by Shania Kennedy

A research team from the University of Illinois Urbana-Champaign’s Beckman Institute for Advanced Science and Technology has developed a deep learning-based medical imaging approach designed to...

AI-Driven ECG Analysis Accurately Predicts Right-Side Heart Issues

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A research team from the Icahn School of Medicine at Mount Sinai has developed an artificial intelligence (AI) tool to help predict which cardiovascular patients are at increased risk for poor right...

Precision Pathology Artificial Intelligence May Improve Cancer Treatment

by Shania Kennedy

Researchers from the Perelman School of Medicine at the University of Pennsylvania have developed an artificial intelligence (AI)-based medical imaging technique capable of analyzing the gene activity...

Case Western Reserve University to Develop Enhanced Medical Imaging AI

by Shania Kennedy

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by Shania Kennedy

A team of Northwestern Medicine researchers has created a generative artificial intelligence (AI) tool capable of interpreting chest radiographs with accuracy on par with or above radiologists for some...

$2.3M NIH Award to Support AI-Driven Brain Imaging Research

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Researchers from Indiana University have been awarded $2.3 million from the National Institutes of Health (NIH) to support the development of open-source, artificial intelligence (AI)-driven tools for...

AI Pain Recognition Tool Detects Pain Before, During and After Surgery

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Breast Cancer Detection AI Performs On Par with Human Mammogram Readers

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Artificial Intelligence Flags Knee Osteoarthritis Using Medical Images

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Researchers from the Massachusetts Institute of Technology (MIT) have developed a deep learning (DL) model that can correct magnetic resonance imaging (MRI) scans corrupted by motion artifacts,...

Deep Learning-Based Electrocardiogram Screening Detects Heart Defects

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Deep Learning Model Detects Diabetes Using Routine Chest Radiographs

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Researchers at Emory University have validated a deep learning (DL) model capable of detecting early warning signs of diabetes using routinely collected chest radiographs and electronic health record...

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