大型語言模型自動化醫學報告生成系統

傳統醫療報告通常需要醫生手動編寫，這過程既耗時又容易受到人為錯誤的影響，導致報告內容的不一致。通過結合計算機視覺和大型語言模型技術，我們可以實現醫療報告的自動化生成。計算機視覺技術可以自動分析醫學影像，檢測病灶或異常結構，並提供準確的圖像分析結果。接著，語言模型能根據這些結果，自動生成結構化的醫療報告。這些報告不僅能正確的描述影像中的異常，還能給出診斷建議和治療方案。這種創新的技術可以顯著減輕醫生的工作負擔，提升報告的準確性和一致性，從而提高醫療服務的效率，降低醫療成本，並改善患者的就醫體驗。 

Ground Truth: The ET tube is 3.5 cm above the carina.  The NG tube tip is off the film, at least in the stomach.  Right IJ Cordis tip is in the proximal SVC. The heart size is moderately enlarged.  There is ill-defined vasculature and alveolar infiltrate, right greater than left.  This is markedly increased compared to the film from two hours prior and likely represents fluid overload.
Generated report: The endotracheal tube terminates approximately 3 cm above the carina. enteric tube courses below the diaphragm out of the field of view. there are low lung volumes. bilateral perihilar opacities are worrisome for moderate pulmonary edema. no large pleural effusion is seen. there is no evidence of pneumothorax. the cardiac silhouette is mildly enlarged.