AIM study highlighted by MGB News and several outlets - ScienceMag, Science Daily and ecancer.
Read MoreResearchers at AIM investigated the use of LLMs for patient portal messaging.
Read MoreAIM Researchers build foundation model to discover new cancer imaging biomarkers
Read MoreAIM study investigates if AI can highlight social determinants of health from clinical notes
Read MoreAIM investigators developed AI to track muscle mass for children through young adulthood
Read MoreBloomberg, WBUR, Yahoo and many other major news outlets feature AIM study on ChatGPT
Read MoreAIM researchers investigate ChatGPT for its ability to provide cancer treatment recommendations
Read MorePLOS Medicine’s top 10% cited included AIM study on deep learning for lung cancer prognostication
Read MoreIn Nature Comm, AIM scientists show that AI applied to X-rays can be used as a new biomarker source in cancer.
Read MoreAIM investigators published a clinical evaluation of AI algorithms to screen for extranodal-extension on CT.
Read MoreIn Nature Medicine, AIM and TRACERx investigators show the importance of AI-based body composition.
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 MoreWe developed an AI model that can accurately predict distant metastases after treatment for lung cancer patients.
Read MoreIn Lancet Digital Health, we published a clinical validation of deep learning algorithms to target lung cancer tumors.
Read MoreThe NIH awards the ModelHub platform for reproducible AI research.
Read MoreWeb 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.
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