In Nature Comm, AIM scientists show that AI applied to X-rays can be used as a new biomarker source in cancer.
Read MoreA recent publication validated a lung cancer prediction model in 14,737 patients from Mass General Brigham.
Read MoreThe Moning Show at CNN features our new study predicting cardiovascular risk from x-rays.
Read MoreIn this paper we demonstrate that deep learning applied to x-rays can be used as a new biomarker source.
Read MoreAs Published in Nature Comm, we developed a deep learning pipeline to automatically predict cardiovascular events by quantifying coronary calcium on CT scans.
Read MoreIn Nature Comm, we show that deep learning can automatically predict cardiovascular events.
Read MoreWe developed several heart segmentation algorithms that work on gated and non-gated CT scans.
Read MoreAn automated deep-learning approach based on chest x-rays can improve lung cancer screening.
Read MoreIn a news item, Scientific American discusses our deep learning study to automatically predict mortality from x-rays.
Read MoreIn a special report about innovations in AI and digital health, Nature highlights two studies from AIM investigators.
Read MoreEurekAlert from AAAS covers our study about cardiovascular risk predictions using AI.
Read MoreAt the annual meeting, a study about AI for cardiovascular risk prediction was awarded.
Read MoreJAMA Network Open published our study about using deep learning to extract prognostic information from chest radiographs
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