Meet the Expert 2

Practical Steps to Becoming an AI-Era Physician

Session Overview

Artificial intelligence is rapidly changing how physicians access information, interpret complex data, communicate, and make clinical decisions. Rather than focusing solely on individual AI applications, this session will use a complex real-world critical care case to demonstrate how physicians can progressively develop the skills needed to work effectively in an AI-enabled healthcare environment.

The case involves an elderly patient with severe pneumonia complicated by in-hospital cardiac arrest, mixed septic and cardiogenic shock, VA-ECMO support, mechanical ventilation, continuous kidney replacement therapy (CKRT), Takotsubo cardiomyopathy, newly diagnosed acute myeloid leukemia, hemoadsorption therapy, prolonged kidney replacement therapy, and eventual kidney recovery.

What Will Be Covered

• Use of AI to organize and interpret complex longitudinal clinical information
• AI-assisted literature retrieval and evidence synthesis
• Support for differential diagnosis, clinical reasoning, and decision review
• Integration of hemodynamic, respiratory, renal, hematologic, and extracorporeal support data
• Applications of AI in documentation, workflow optimization, and multidisciplinary communication
• Recognition of hallucinations, bias, incomplete context, and other limitations of generative AI
• Principles of privacy, accountability, transparency, and responsible AI use
• Strategies for effective human-AI collaboration without compromising clinical judgment

What Participants Will Learn

Participants will learn how to identify clinical tasks that may benefit from AI support, formulate effective prompts and questions, verify AI-generated information, and incorporate these tools into daily practice. The session will emphasize that AI should enhance—not replace—clinical reasoning, professional responsibility, and patient-centered care.

Target Audience

Physicians, fellows, residents, medical educators, clinical researchers, allied healthcare professionals, and healthcare leaders interested in the responsible integration of AI into clinical practice.

成為 AI 時代醫師的實務進階之路

課程簡介

Artificial intelligence 正快速改變醫師蒐集資訊、整合臨床資料、進行決策與溝通的方式。然而，真正重要的並非單純學會使用某一項 AI 工具，而是了解哪些工作適合由 AI 協助、如何驗證產出，以及如何在提升效率的同時維持臨床判斷與專業責任。

本場次將以一個高度複雜的重症病例為主軸。病人因肺炎住院後發生 cardiac arrest，後續合併 septic shock、cardiogenic shock、Takotsubo cardiomyopathy 與新診斷的 acute myeloid leukemia，治療過程中接受 VA-ECMO、mechanical ventilation、CKRT、hemoadsorption therapy 及長期 kidney replacement therapy，最終腎功能逐步恢復。

透過此病例，課程將探討 AI 如何實際應用於複雜重症照護。

課程內容

• 運用 AI 整理複雜且跨時序的臨床資訊
• AI-assisted literature search 與 evidence synthesis
• 協助 differential diagnosis、clinical reasoning 與決策檢核
• 整合血流動力學、呼吸、腎臟、血液疾病及 extracorporeal support 資料
• AI 在病歷撰寫、工作流程與跨團隊溝通中的應用
• Generative AI 常見的 hallucination、bias 與 context limitation
• Privacy、accountability、transparency 與 responsible AI use
• 如何建立有效且安全的 human-AI collaboration

參與者將學到

參與者將學習如何辨識適合使用 AI 輔助的臨床工作，設計更有效的 prompts，並以系統化方式驗證 AI-generated information。

課程亦將討論如何將 AI 整合至日常工作流程，同時避免過度依賴，確保最終決策仍建立在完整的臨床情境、專業判斷與病人價值之上。

適合對象

各科醫師、研究醫師、住院醫師、醫學教育者、臨床研究人員、醫療專業人員，以及對 AI 導入臨床照護、教育與研究有興趣的醫療工作者。