Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology. However, standard medical image classification approaches only assess disease presence at the time of acquisition, neglecting the…
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Cyberattacks continue to occur frequently among healthcare providers, resulting in staggering financial losses and major patient care disruptions.
The latest healthcare cybersecurity incident to make headlines happened last Monday when McLaren Health Care fell victim…
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What You Should Know: – Sheba Medical Center, a globally recognized healthcare leader, announced the publication of a groundbreaking study demonstrating the effectiveness of an AI algorithm in predicting pulmonary embolism (PE) risk upon…
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Artificial Intelligence and Machine Learning are two vast topics of discussion as we work on implementing these tools into a multitude of areas in the healthcare space. So lets narrow that down a bit…
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What You Should Know: – Tampa General Hospital (TGH) announced the implementation of Apella, an advanced AI-powered platform designed to enhance operating room efficiency and patient care. – By providing real-time data and insights,…
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The increasing prevalence of myopia worldwide presents a significant public health challenge. A key strategy to combat myopia is with early detection and prediction in children as such examination allows for effective intervention using…
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In this episode of Talking HealthTech, the Talking HealthTech team is at the ARCS Annual Conference 2024 in Sydney, Australia, exploring the potential of modern healthcare technologies, leadership in a changing world, and the…
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Andy Molnar, CEO of the Digital Therapeutics Alliance, has been selected as an industry representative for the FDA’s Digital Health Advisory Committee (DHAC). The FDA established the DHAC to ensure safe and effective regulation of…
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Patient safety must be central to the design, development, and rollout of electronic patient record (EPR) systems, a report from Patient Safety Learning has stated.
The report, published on 31 July 2024, makes the case…
The adoption of machine learning (ML) and, more specifically, deep learning (DL) applications into all major areas of our lives is underway. The development of trustworthy AI is especially important in medicine due to…
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