Clinical Involvement in Algorithm Development Michael Pencina, vice dean of data science at the Duke University School of Medicine, says recent discussions about data-driven automation have focused on how to decrease burnout and increase…
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Technology-driven innovations are dramatically altering the way modern life sciences operate, enabling a paradigm shift from treating diseases and their symptoms to preventing and curing them.
The UK-based Galleri trial uses Artificial Intelligence (AI) based…
Managing health data is no longer as simple as archiving it for the odd retrieval by a clinician down the road. Today, health data is a strategic asset. Mining that data can lead to…
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Managing health data is no longer as simple as archiving it for the odd retrieval by a clinician down the road. Today, health data is a strategic asset. Mining that data can lead to…
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The following is a guest article by Steven Lazer, Global Healthcare & Life Sciences CTO, Alex Long, Head of Life Sciences Sales Strategy, and Michael Giannopoulos, Healthcare Global CISO and CTO for the Americas…
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Engineers at the University of California San Diego have developed a low-cost cuffless blood pressure monitor. The device is a clip that attaches over a smartphone camera and flash. The user presses their finger…
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Huma Therapeutics has received US Food and Drug Administration (FDA) Class II clearance for its disease-agnostic Software-as-a-Medical-Device (SaMD) platform, enabling companies to launch their own algorithm innovations more quickly to the platform and allowing…
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Researchers from Boston University have developed a machine learning model to provide personalized hypertension treatment recommendations. The model analyzes patient-specific characteristics and medical history to generate a customized hypertension prescription, suggesting the most appropriate…
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The bold vision of AI-driven pervasive physiological monitoring, through the proliferation of off-the-shelf wearables that began a decade ago, has created immense opportunities to extract actionable information for precision medicine. These AI algorithms model…
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By Mark Melchionna
June 08, 2023 – Research from the Radiological Society of North America (RSNA) indicates that artificial intelligence (AI) algorithms performed better than the Breast Cancer Surveillance Consortium (BCSC) risk model in predicting the…
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