AIM Investigator awarded 5-year grant to improve cancer survivorship
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AIM Study on LLMs for patient portal messaging on NYT
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AIM Student Awarded 2024 Google PhD Fellowship in Natural Language Processing
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Guidelines for studies using large language models
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Responding to patient messages using LLMs
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AIM study highlighted by MGB News and several outlets - ScienceMag, Science Daily and ecancer.
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AIM Researchers build foundation model to discover new cancer imaging biomarkers
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AIM study investigates if AI can highlight social determinants of health from clinical notes
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AIM investigators developed AI to track muscle mass for children through young adulthood
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Bloomberg, WBUR, Yahoo and many other major news outlets feature AIM study on ChatGPT
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AIM researchers investigate ChatGPT for its ability to provide cancer treatment recommendations
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PLOS Medicine’s top 10% cited included AIM study on deep learning for lung cancer prognostication
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AIM researchers developed AI that can diagnose sarcopenia in head and neck cancer.
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AIM researchers and ethicists establish standards for informing patients in AI clinical trials.
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In Nature Comm, AIM scientists show that AI applied to X-rays can be used as a new biomarker source in cancer.
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AIM investigators published a clinical evaluation of AI algorithms to screen for extranodal-extension on CT.
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In Nature Medicine, AIM and TRACERx investigators show the importance of AI-based body composition.
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AIM investigators developed an oncology AI Fact Sheet to facilitate the safe translation of AI models into cancer clinics.
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A recent publication validated a lung cancer prediction model in 14,737 patients from Mass General Brigham.
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The Moning Show at CNN features our new study predicting cardiovascular risk from x-rays.
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