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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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 Shania Kennedy
June 02, 2023 – Researchers have demonstrated that a machine learning (ML)-based clinical decision support tool can accurately triage patients with respiratory symptoms before they visit a primary care clinic, which may improve…
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Artificial intelligence (AI) and machine learning are being leveraged in healthcare organizations to effectively manage and protect vast amounts of patient data. These technologies help categorize and prioritize data, apply appropriate security measures, and…
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Lilli, a company using machine learning (ML) to revolutionise home care, has announced a partnership with digital care management provider Nourish Care to support local authorities and care providers in the successful implementation of…
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The following is a guest article by Jon Kimerle, Global Strategic Healthcare Alliances at Pure Storage
The digital transformation of healthcare continues to accelerate, and technologies like artificial intelligence (AI) are predicted to have an…
NVIDIA AI Enterprise, available on the Microsoft Azure Marketplace, announced this week that it has expanded support for secure development and deployment of artificial intelligence with a new Azure Machine Learning integration that could…
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What You Should Know:
A new HFMA survey commissioned by AKASA highlights the revenue cycle tasks requiring the most subject matter expertise, according to responses from over 550 CFOs and revenue cycle leaders at hospitals and health systems across the…
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By Mark Melchionna
May 23, 2023 – Research from the University of California San Diego described a head-worn wearable device that leverages machine learning and a noninvasive brain imaging technique called magnetoencephalography (MEG) that could help…
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Explainable artificial intelligence (XAI) has emerged as a promising solution for addressing the implementation challenges of AI/ML in healthcare. However, little is known about how developers and clinicians interpret XAI and what conflicting goals…
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