The NIH awards the ModelHub platform for reproducible AI research.
Read MoreMIT Technology Review highlights our article published in Nature about transparent AI.
Read MoreIn The Lancet Digital Health, AIM investigators have defined the levels of autonomy in medical AI.
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 MoreIn a special report about innovations in AI and digital health, Nature highlights two studies from AIM investigators.
Read MoreThe National Cancer Institute awarded the Imaging Data Commons (IDC) to a consortium from Brigham and Women’s Hospital and Harvard Medical School.
Read MoreDr. Raymond Mak is featured in an Harvard Business School news item about his AI work.
Read MoreOur study on applying crowd innovation to develop deep learning models was featured by Reuters.
Read MoreJAMA Oncology published our investigation of deep learning methods for lung tumor segmentation.
Read MoreAt their annual meeting, the AACR awarded an AIM article as it was the most-cited.
Read MoreWe used AI to quantify the radiographic phenotype of a tumor to predict IO response.
Read MoreDeep learning identifies extranodal extension in head and neck cancer better than radiologists; potential to be used for treatment decisions.
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