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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Machine learning (ML) models trained for triggering clinical decision support (CDS) are typically either accurate or interpretable but not both. Scaling CDS to the panoply of clinical use cases while mitigating risks to patients…
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By Shania Kennedy
June 05, 2023 – Researchers have developed machine learning (ML) methods that can accurately identify predictors associated with fetal heart rate changes following neuraxial analgesia in healthy pregnant patients, according to a study…
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Cutting Through the Hype: Navigating AI in HealthcareBy Michael Burke
Michael Burke, MBA is founder and CEO of Copient Health of Atlanta, GA.
First, a confession. Our company leverages machine…
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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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According to a recent US study, combining AI-powered image analysis with machine learning enhances forecasts for invasive breast cancer. According to a study from the Mayo Clinic and the University of California, combining AI…
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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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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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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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Lindus Health has secured a grant from Innovate UK Smart Grant and funding from investors to help speed up clinical research trials using its technology platform and machine learning.As a result of the cash…
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