本課程目的是培養學生利用AI技術，解決跨領域問題的能力。首先由醫師針對重症疾病，包括急性呼吸窘迫、病患拔管預測、敗血症、病患出院預測等問題，對學生進行問題定義與背景知識介紹。透過跨域交流，讓醫師、教師、學生的溝通方式、專業術語、資料長相、預測技術等有充分的互動與理解。接續由資訊背景的老師以實際案例分享，說明各項疾病的AI應用。後續由醫師針對問題說明數篇文獻探討與分享討論後，學生開始分組，針對重症疾病進行病患狀況預測模型訓練，並討論如何實際臨床應用的可行性規劃與設計。期望透過實際醫療資料、跨域高頻率互動合作的模式下，養成學生以AI技術實際協助醫師進行病況預測的能力。

本課程主要養成學生以下能力:
1. 養成學生透過AI技術，開發智慧醫療相關系統的能力
2. 培養學生跨域合作，建構智慧醫療模型的實做能力

The purpose of this course is to cultivate students' ability to use AI technology to solve cross-domain problems. First, the doctor will introduce the problem definition and background knowledge of students on severe diseases, including acute respiratory distress, patient extubation prediction, dysemia, and patient discharge prediction. Through cross-domain communication, doctors, teachers and students can have sufficient interaction and understanding of communication methods, professional language, data length, prediction technology, etc. The teacher with information background will share it with actual cases to explain the AI ​​application of each disease. After the doctor's discussion on the problem was discussed and shared by the doctor, students began to organize and train the patient status prediction model for critical diseases, and discuss how to implement feasibility planning and design of clinical applications. It is expected that through the model of actual medical data and cross-domain high-frequency interactive cooperation, students can develop the ability of AI technology to actually assist doctors in conducting epidemic prediction.

This course mainly cultivates the following abilities of students:
1. The ability to develop smart medical-related systems through AI technology
2. Cultivate students' cross-domain cooperation and build practical capabilities in smart medical models

1. AI 醫療 DEEP MEDICINE
作者：Eric Topol
ISBN：9789863126508
出版社：旗標
出版日期：2020/11/20

2. 各重症疾病期刊論文

1. AI Medicine DEEP MEDICINE
Author: Eric Topol
ISBN: 9789863126508
Publisher: Flagmark
Publication date: 2020/11/20

2. Journals of various critical illnesses