A1. Deep Learning Application for Healthcare (Colin Matthews, 2022)

1. Course Overview: 1. Course Overview 00:00:00 2. Fundamentals of Deep Learning: 1. Welcome! 00:01:13 2. The Power of Deep Learning 00:02:48 3. What Is Deep Learning 00:05:05 4. Advantages 00:10:45 5. Disadvantages 00:13:08 6. Case Study - Diagnostic Image Analysis 00:15:23 3. Healthcare Data: 1. Module Overview 00:19:53 2. Introduction to Healthcare Data 00:20:29 3. Medical Coding 00:25:17 4. Document and Text Analysis 00:29:33 5. Image Analysis 00:32:59 6. Device Data 00:37:47 7. Case study - Automated Medical Coding 00:42:14 4. Ethics in Healthcare AI: 1. Module Overview 00:47:03 2. Decision Support vs. Decision Making 00:47:29 3. Interpretability 00:50:31 4. Bias 00:53:29 5. Peer Review 00:56:51 6. Case study - Sepsis Algorithm 00:59:47 7. Course Summary 01:02:36