Web of Science awards AIM researcher as among the top highest cited scientists worldwide.
Read MoreTogether with the WHO we defined a framework for the global application of AI-based Medical Devices.
Read MoreIn this paper we demonstrate that deep learning applied to x-rays can be used as a new biomarker source.
Read MoreIn Cancer Cell, we published our perspective on the impact of AI in Clinical Oncology.
Read MoreOpen-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks
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 MoreDanielle Bitterman joins AIM to start a new laboratory in natural language processing using AI.
Read MoreWe developed several heart segmentation algorithms that work on gated and non-gated CT scans.
Read MoreIn Nature Reviews Clinical Oncology, we highlight how AI is transforming the field of radiation oncology to treat patients more accurately and efficiently.
Read MoreScientific American discusses the hype in AI and highlights study from AIM.
Read MoreMIT Technology Review highlights our article published in Nature about transparent AI.
Read MoreAIM investigators describe their view on AI reproducibility and transparency.
Read MoreAn automated deep-learning approach based on chest x-rays can improve lung cancer screening.
Read MoreIn The Lancet Digital Health, AIM investigators have defined the levels of autonomy in medical AI.
Read MoreIn Nature Reviews Clinical Oncology, we highlight how AI is transforming the field of radiation oncology to treat patients more accurately and efficiently.
Read MoreIn a news item, Scientific American discusses our deep learning study to automatically predict mortality from x-rays.
Read MoreThe Horizon 2020 program of the European Union awarded an ERC grant about AI in oncology.
Read MoreThe Lancet Digital Health appointed Dr. Hugo Aerts at their advisory board.
Read MoreIn a special report about innovations in AI and digital health, Nature highlights two studies from AIM investigators.
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