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Typos and slang in patient messages can trip up AI models, leading to inconsistent medical recommendations
A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in ...
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Comparison of Image-Derived and Arterial Input Functions for Estimating the Rate of Glucose Metabolism in Therapy-Monitoring - Journal of Nuclear Medicine
The use of dynamic 18F-FDG PET to determine changes in tumor metabolism requires tumor and plasma time–activity curves. Because arterial sampling is invasive and laborious, our aim was to validate ...