本课程是 AI in Healthcare 专项课程专项课程的一部分

Tina Hernandez-Boussard 另外 +1 位授课教师

提供方

AI in Healthcare 专项课程斯坦福大学

课程信息

33,645 次近期查看

With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.
The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.  Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.

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第 4 门课程（共 5 门）

AI in Healthcare 专项课程

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为11 小时

英语（English）

字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

您将学到的内容有

Principles and practical considerations for integrating AI into clinical workflows

Best practices of AI applications to promote fair and equitable healthcare solutions

Challenges of regulation of AI applications and which components of a model can be regulated

What standard evaluation metrics do and do not provide

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

第 4 门课程（共 5 门）

AI in Healthcare 专项课程

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为11 小时

英语（English）

字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

讲师

授课教师评分

4.68/5 （19 个评分）

Tina Hernandez-Boussard

Associate Professor

Medicine (Biomedical Informatics), of Biomedical Data Science and of Surgery

2,741 个学生

2 门课程

Mildred Cho

Professor

Department of Pediatrics Division of Medical Genetics

9,509 个学生

2 门课程

提供方

斯坦福大学

The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.

教学大纲 - 您将从这门课程中学到什么

周

周 1

完成时间为 1 小时

AI in Healthcare

完成时间为 1 小时

10 个视频（总计 30 分钟）, 2 个阅读材料, 3 个测验

10 个视频

Learning Objectives1分钟

Common Definitions1分钟

Overview1分钟

Why AI is needed in Healthcare4分钟

Examples of AI in Healthcare8分钟

Growth of AI in Healthcare2分钟

Questions Answered by AI2分钟

AI Output3分钟

Think beyond area under the curve1分钟

Recap2分钟

2 个阅读材料

Study Guide Module 1

Citations and Additional Readings

3 个练习

Reflection Exercise 110分钟

Reflection Exercise 210分钟

Knowledge Check20分钟

周

周 2

完成时间为 2 小时

Evaluations of AI in Healthcare

完成时间为 2 小时

15 个视频（总计 41 分钟）, 2 个阅读材料, 4 个测验

15 个视频

Learning Objectives1分钟

Recap: Framework1分钟

Stakeholders1分钟

Clinical Utility1分钟

Outcome: Action Pairing, An Overview4分钟

Lead Time1分钟

Type of Action3分钟

OAP Examples3分钟

Number Needed to Treat2分钟

Net Benefits2分钟

Decision Curves4分钟

Feasibility overview4分钟

Implementation Costs1分钟

Clinical Evaluation and Uptake4分钟

Summary1分钟

2 个阅读材料

Study Guide Module 25分钟

Citations and Additional Readings

4 个练习

Reflection Exercise 110分钟

Reflection Exercise 210分钟

Reflection Exercise 310分钟

Knowledge Check30分钟

周

周 3

完成时间为 2 小时

AI Deployment

完成时间为 2 小时

19 个视频（总计 47 分钟）, 2 个阅读材料, 5 个测验

19 个视频

Learning Objectives1分钟

The Problem1分钟

Practical Questions Prior to Deployment3分钟

Deployment Pathway1分钟

Design and Development3分钟

Stakeholder Involvement2分钟

Data Type and Sources3分钟

Settings3分钟

In Silico Evaluation2分钟

Net Utility & Work Capacity2分钟

Statistical Validity1分钟

Care Integration, Silent Mode2分钟

Clinical Integration, Considerations2分钟

Technical Integration1分钟

Deployment Modalities2分钟

Continuous Monitoring and Maintenance2分钟

Challenges of Deployment5分钟

Sepsis Example1分钟

Summary1分钟

2 个阅读材料

Study Guide Module 35分钟

Citations and Additional Readings

5 个练习

Reflection Exercise 110分钟

Reflection Exercise 210分钟

Reflection Exercise 310分钟

Reflection Exercise 410分钟

Knowledge Check30分钟

周

周 4

完成时间为 2 小时

Downstream Evaluations of AI in Healthcare: Bias and Fairness

完成时间为 2 小时

18 个视频（总计 41 分钟）, 2 个阅读材料, 5 个测验

18 个视频

Learning Objectives2分钟

Real World Examples of AI Bias4分钟

Introduction - Types of Bias41

Historical Bias2分钟

Representation Bias1分钟

Measurement Bias1分钟

Aggregation Bias2分钟

Evaluation Bias1分钟

Deployment Bias1分钟

What is algorithmic Fairness2分钟

Anti-classification2分钟

Parity Classification1分钟

Calibration2分钟

Applying Fairness Measures2分钟

Lack of Transparency2分钟

Minimal Reporting Standards3分钟

Opportunities and Challenges2分钟

Summary2分钟

2 个阅读材料

Study Guide Module 45分钟

Citations and Additional Readings

5 个练习

Reflection Exercise 110分钟

Reflection Exercise 210分钟

Reflection Exercise 310分钟

Reflection Exercise 410分钟

Knowledge Check30分钟

关于 AI in Healthcare 专项课程

Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.

In this specialization, we'll discuss the current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically. This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines. CME Accreditation The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. View the full CME accreditation information on the individual course FAQ page.

常见问题

我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Is financial aid available?
是的，Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤，包括毕业项目。了解更多。
Is this activity accredited for Continuing Medical Education (CME)?
Dates and Duration
Original Release Date: 08/10/2020
Expiration Date: 08/10/2023
Estimated Time to Complete: 9 hours and 30 minutes
CME Credits Offered: 9.50
Accreditation
The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The Stanford University School of Medicine designates this enduring material for a maximum of 9.50 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Disclosures
The Stanford University School of Medicine adheres to ACCME Criteria, Standards and Policies regarding industry support of continuing medical education. There are no relevant financial relationships with ACCME-defined commercial interests for anyone who was in control of the content of this activity.

还有其他问题吗？请访问学生帮助中心。

Evaluations of AI Applications in Healthcare