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.
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第 4 门课程（共 5 门）
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
可灵活调整截止日期
根据您的日程表重置截止日期。
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）
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）
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
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
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
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
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
审阅
来自EVALUATIONS OF AI APPLICATIONS IN HEALTHCARE的热门评论
由 RS 提供Mar 5, 2021
This is a holistic course giving all perspectives and knowledge on the different aspects of evaluating all kind of AI driven solutions in healthcare. A must do for all healthcare Managers.
由 GG 提供Dec 12, 2020
Thanks a lot for this great course, extremely practical, allowing to create a clear action plan for AI evaluation.
由 KS 提供Oct 16, 2020
Nicely Framed and Executed in a simple language so anyone can catch up earliest.
由 KN 提供Dec 2, 2020
More examples would have been better to understand some of the concepts.
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.
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有助学金吗？
Is this activity accredited for Continuing Medical Education (CME)?
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