In Lancet Digital Health, we published a clinical validation of deep learning algorithms to target lung cancer tumors.
Read MoreIn Cancer Cell, we published our perspective on the impact of AI in Clinical Oncology.
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 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 MoreIn a special report about innovations in AI and digital health, Nature highlights two studies from AIM investigators.
Read MoreScience Magazine published our perspective on the application of Artificial intelligence in resource-poor health care settings.
Read MoreOur article "Deep learning for lung cancer prognostication" was selected by IMIA as one of the best articles of the year.
Read MoreJAMA Network Open published our study about using deep learning to extract prognostic information from chest radiographs
Read MoreClinical Cancer Research published about deep learning applied to serial imaging to improve outcome predictions.
Read MoreOur publication about artificial intelligence in cancer imaging was highlighted on the cover of CA: A Cancer Journal for clinicians.
Read MoreA review of AI applications in the imaging of several tumor types has been published in CA: A Cancer Journal for clinicians.
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.
Read MoreNature Reviews Cancer published our opinion article on the application of artificial intelligence to image-based tasks in the field of radiology.
Read MorePLOS Medicine published our study exploring deep learning for predicting overall survival in lung cancer patients.
Read MoreClinical Cancer Research published our article outlining best practices for analyzing medical imaging data using AI.
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