- 1.21:31心電圖的昔時、今日與展望-黃英傑醫師
- 2.32:42腹部超音波常被忽略的形態-陳國智醫師
- 3.25:25AI與急診診斷的應用與未來展望-邱俊文醫師
心電圖的昔時、今日與展望
Past, Present & Perspective of ECG
主講人:黃英傑醫師(嘉義基督教醫院)
課程簡介
Since 1895, the first practical ECG machine was introduced by Dr. Willem Einthoven, there has been over 130 years of development and utilization of ECG in clinical practice. From the very beginning, ECG machine was bulky and weighted up to 272 Kg but could provide very simple information with limb leads. Precordial leads, decreasing both in size and weight, remote monitoring, portable ECG, and machine intepretation became reality in the long run of development. Blasting improvement began as development of internet, machine learning and artificial intelligence. Multiple prospective domains are developing rapidly that shall bring ECG uses a more brilliant future.
腹部超音波常被忽略的形態
Overlooked patterns in abdominal point-of-care ultrasound
主講人:陳國智醫師(雙和醫院)
POCUS在急診有關腹部的應用對於大多數急診醫師而言,主要有AAA, Cholecystitis, Hydronephrosis, AUR, SBO和外傷時游離液體的探查。感染症、急性腹痛、女性骨盆部疼痛和胃腸道病變等急診部門常見的問題,能利用超音波來輔助診斷的急診醫師就少很多了。其實POCUS對急診醫師最重要的角色就是協助確認可能性,而非利用超音波來排除上述的臨床問題。這次的主題將會介紹幾種對於臨床診斷重要的形態: 空氣、液體、腫塊和脂肪,熟悉超音波下的表現對於臨床的應用將會有不小的助益。
AI與急診診斷的應用與未來展望
Artificial Intelligence for Diagnostics in Emergency Medicine: Applications and Future Directions
主講人:邱俊文醫師(彰化基督教醫院)
本演講系統性檢視人工智慧(AI)於急診醫學診斷的現況與前瞻,聚焦多模態演算法對臨床決策的增益與臨床框架。輔助急診醫師在高壓下需即時整合影像、生命徵象、實驗室數據與自由文本,做出診斷決策;並探討影像 AI(CXR/CT)、ECG 時序辨識(STEMI、arrhythmia)、病歷摘要與分級 NLP、敗血症早期預警等應用。
結論強調:AI 不取代急診醫師,而是放大臨床判斷與流程效率;未來重點在多中心外部驗證、臨床影響研究與成本效益評估,以建立可持續的急診 AI 藍圖。