In this paper we demonstrate that deep learning applied to x-rays can be used as a new biomarker source.
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As Published in Nature Comm, we developed a deep learning pipeline to automatically predict cardiovascular events by quantifying coronary calcium on CT scans.
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In Nature Comm, we show that deep learning can automatically predict cardiovascular events.
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We developed several heart segmentation algorithms that work on gated and non-gated CT scans.
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An automated deep-learning approach based on chest x-rays can improve lung cancer screening.
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In a news item, Scientific American discusses our deep learning study to automatically predict mortality from x-rays.
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In a special report about innovations in AI and digital health, Nature highlights two studies from AIM investigators.
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EurekAlert from AAAS covers our study about cardiovascular risk predictions using AI.
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At the annual meeting, a study about AI for cardiovascular risk prediction was awarded.
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JAMA Network Open published our study about using deep learning to extract prognostic information from chest radiographs
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A review of AI applications in the imaging of several tumor types has been published in CA: A Cancer Journal for clinicians.
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