Researchers at AIM investigated the use of LLMs for patient portal messaging.
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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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AIM researchers developed AI that can diagnose sarcopenia in head and neck 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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We developed an AI model that can accurately predict distant metastases after treatment for lung cancer patients.
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AIM investigators found that clinical trials with AI algorithms showed high variability in quality.
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In Lancet Digital Health, we published a clinical validation of deep learning algorithms to target lung cancer tumors.
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In Cancer Cell, we published our perspective on the impact of AI in Clinical Oncology.
Read MoreIn Nature Reviews Clinical Oncology, we highlight how AI is transforming the field of radiation oncology to treat patients more accurately and efficiently.
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Deep learning identifies extranodal extension in head and neck cancer better than radiologists; potential to be used for treatment decisions.
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