By Shania Kennedy
June 08, 2023 – Researchers from Mount Sinai have developed deep learning (DL)-based model for electrocardiogram (ECG) analysis that enables the interpretation of ECGs as language and may improve ECG-related diagnoses, according to…
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By Mark Melchionna
June 07, 2023 – Following a successful pilot at Covenant Medical Center, Providence will expand a hybrid nursing model, Co-Caring, to ten additional units in its hospitals throughout its seven-state service area.
Co-Caring is…
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Researchers at Mount Sinai in New York City say they’ve developed a new artificial intelligence model designed for electrocardiogram analysis.WHY IT MATTERSThe innovative AI approach could vastly improve the efficacy and accuracy of ECG…
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By Mark Melchionna
June 06, 2023 – Researchers from the University of Missouri (MU) enhanced their artificial intelligence (AI) model to improve its ability to predict protein location within cells of animals, humans, and plants, thereby…
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The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical problems may result in suboptimal performance when pre-training…
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Brent Lamm is CIO at UNC Health, based in Morrisville, North Carolina. He has quite the seat for the artificial intelligence explosion in healthcare – he’s sitting right in the middle of it.Lamm and…
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A Machine-Learning tool accurately triages patients with respiratory symptoms before primary care visits, according to a study. By categorizing patients into risk groups, unnecessary interventions like chest X-rays can be reduced for low-risk individuals,…
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By Mark Melchionna
June 02, 2023 – A study published in JAMA Network Open describes a deep-learning (DL) model that showed the ability to determine differences between children with autism spectrum disorder (ASD) and typical development…
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Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score to…
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The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric…
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