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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Lilli, a company using machine learning (ML) to improve home care, has recently announced transformational results from its Discharge to Assess (D2A) trial with Nottingham on Call. Nottingham on Call is the telecare service provided…
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Artificial intelligence (AI) has extraordinary potential to enhance healthcare, from improvements in medical diagnosis and treatment to assisting surgeons at every stage of the surgical act, from preparation to completion.With machine learning and deep…
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RaySearch Laboratories has announced that New York University (NYU) Langone Hospital – Long Island will be replacing its treatment planning system with RayStation. The installation will provide NYU with advanced automation tools, machine learning…
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Both patients and clinicians would agree that the healthcare system has an abundance of inefficiencies and frustrations. Alyssa Jaffee, partner at 7wireVentures, said it well last month at MedCity News’ INVEST conference — “it’s…
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Researchers at the University of California San Diego have created a wearable ultrasound system that can monitor deep tissues, as far as 16.5 cm (6.5 inches) below the surface of the body. Moreover, the…
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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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