不可错过！斯坦福《医疗人工智能》2020课程，系统性讲述AI在医学(新冠)应用

2020 年 11 月 1 日 专知

指导教师：

医疗保健是人工智能最令人兴奋的应用领域之一，在医学图像分析、基于电子健康记录的预测和精确医疗等领域具有变革潜力。本课程将深入探讨医疗领域人工智能的最新进展，特别关注医疗问题的深度学习方法。我们将从神经网络基础开始，然后在各种医疗保健数据(包括图像、文本、多模态和时间序列数据)的背景下研究前沿的深度学习模型。在本课程的后半部分，我们将讨论在社会应用(如医疗保健)中整合人工智能所面临的开放挑战，包括可解释性、健壮性、隐私性和公平性。本课程旨在为来自不同背景的学生提供医疗领域人工智能前沿研究的概念理解和实践基础。

http://web.stanford.edu/class/biods220/index.html

目录内容：

	Date	Topic	Lecture Slides
Lecture 1	Sep 14 (Mon)	Course Introduction 课程导论	lecture1.pdf
Assignment	Sep 15 (Tue)	Assignment 0 Released
Lecture 2	Sep 16 (Wed)	Deep Learning Fundamentals 深度学习基础	lecture2.pdf
Section	Sep 18 (Fri)	Project Partner Finding Session
Lecture 3	Sep 21 (Mon)	Medical Images: Classification 医学图像分类	lecture3.pdf
Assignment	Sep 22 (Tue)	Assignment 0 Due; Assignment 1 Released
Lecture 4	Sep 23 (Wed)	Medical Images: Advanced Vision Models (Detection and Segmentation) 医学图像高级视觉模型	lecture4.pdf
Section	Sep 25 (Fri)	Numpy/TensorFlow Review Session	numpy_tf_review.pdf
Lecture 5	Sep 28 (Mon)	Medical Images: Advanced Vision Models (3D and Video)	lecture5.pdf
Lecture 6	Sep 30 (Wed)	Electronic Health Records: Introduction 电子健康病历	lecture6.pdf
Lecture 7	Oct 5 (Mon)	Electronic Health Records: Advanced Topics	lecture7.pdf
Assignment	Oct 6 (Tue)	Assignment 1 Due
Assignment	Oct 7 (Wed)	Assignment 2 Released
Lecture 8	Oct 7 (Wed)	More on Text Data and Representations 文本数据与表示	lecture8.pdf
Project	Oct 9 (Fri)	Project proposal due
Guest Lecture	Oct 12 (Mon)	Strategies for Interdisciplinary Projects in AI and Healthcare with Matthew Lungren
Lecture 9	Oct 14 (Wed)	Genomics: Introduction 基因学	lecture9.pdf
Guest Lecture	Oct 19 (Mon)	Genomics: Guest Lecture from Marina Sirota
Assignment	Oct 21 (Wed)	Assignment 2 Due; Assignment 3 Released
Lecture 10	Oct 21 (Wed)	Multimodal Data, Multimodal Models, and Weakly Supervised Learning 多模态数据	lecture10.pdf
Lecture 11	Oct 26 (Mon)	Special Topics: AI for COVID-19	lecture11.pdf
Lecture 12	Oct 28 (Wed)	Unsupervised Learning and Reinforcement Learning 无监督学习与强化学习	lecture12.pdf
Project	Oct 30 (Fri)	Project milestone due
Lecture 13	Nov 2 (Mon)	Project Milestone Presentations
Assignment	Nov 4 (Wed)	Assignment 3 Due
Lecture 14	Nov 4 (Wed)	Interpretability, Fairness, and Ethics 可解释性
Project	Nov 6 (Fri)	Signups for project advising sessions
Lecture 15	Nov 9 (Mon)	Distributed Learning, Security, and Privacy
Lecture 16	Nov 11 (Wed)	Guest Lecture: Special Topics
Lecture 17	Nov 16 (Mon)	Guest Lecture: Special Topics
Lecture 18	Nov 18 (Wed)	Course Conclusion; Project report due