Benjamin Kann joins AIM to start a new laboratory in medical image analysis.
Read MoreEurekAlert from AAAS covers our study about cardiovascular risk predictions using AI.
Read MoreScience Magazine published our perspective on the application of Artificial intelligence in resource-poor health care settings.
Read MoreAt the annual meeting, a study about AI for cardiovascular risk prediction was awarded.
Read MoreOur article "Deep learning for lung cancer prognostication" was selected by IMIA as one of the best articles of the year.
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 MoreJAMA Network Open published our study about using deep learning to extract prognostic information from chest radiographs
Read MoreIn a news item, Science Magazine discusses the positives and negatives of AI in medicine.
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 MoreClinical Cancer Research published about deep learning applied to serial imaging to improve outcome predictions.
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 MoreOur publication about artificial intelligence in cancer imaging was highlighted on the cover of CA: A Cancer Journal for clinicians.
Read MoreJNCI published our study about trial design of novel technologies for cancer treatment, including artificial intelligence algorithms.
Read MoreA review of AI applications in the imaging of several tumor types has been published in CA: A Cancer Journal for clinicians.
Read MoreDeep learning identifies extranodal extension in head and neck cancer better than radiologists; potential to be used for treatment decisions.
Read MoreAIM’s publication “AI in Radiology” was featured in the Nature about promising technologies transforming the world.
Read MoreOur publication “Artificial Intelligence in Radiology” was highlighted on the cover of Nature Reviews Cancer.
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