Towards Expert-Level Medical Question Answering with Large Language Models
Med-PaLM 2 scored up to 86.5% on the MedQA dataset, improving upon Med-PaLM by over 19% and setting a new state-of-the-art.
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We unveil an ingenious model fortified by bispectrum-inspired feature extraction and the cutting-edge prowess of the Vision Transformer (ViT) model.
Med-PaLM 2 scored up to 86.5% on the MedQA dataset, improving upon Med-PaLM by over 19% and setting a new state-of-the-art.
Large language models present a significant opportunity to rethink the development of medical AI.
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Video tele-education was just as effective as in-person educational method on dietary regimen compliance among patients with T2DM in a three-month period.