We developed an AI model that can accurately predict distant metastases after treatment for lung cancer patients.
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In Lancet Digital Health, we published a clinical validation of deep learning algorithms to target lung cancer tumors.
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In this paper we demonstrate that deep learning applied to x-rays can be used as a new biomarker source.
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In Cancer Cell, we published our perspective on the impact of AI in Clinical Oncology.
Read MoreAs 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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We developed several heart segmentation algorithms that work on gated and non-gated CT scans.
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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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Clinical Cancer Research published about deep learning applied to serial imaging to improve outcome predictions.
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We used AI to quantify the radiographic phenotype of a tumor to predict IO response.
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