Free Course: AI for Healthcare Clinical Insights

Free Course: AI for Healthcare Clinical Insights

• Lesson 01: Course Introduction

  05:40Preview

  • 1.01 Trainer Introduction

    02:58

  • 1.02 Course Introduction

    02:42

• Lesson 02: Introduction to AI and Gen AI in Healthcare

  31:58Preview

  • 2.01 Learning Objectives

    01:14

  • 2.02 AI in Healthcare Overview and Use Cases

    03:04

  • 2.03 GenAI in Healthcare and Its Benefits

    04:03

  • 2.04 Types of AI Applications in Healthcare

    05:52

  • 2.05 Overview of Healthcare Data

    01:48

  • 2.06 Why AI and Generative AI are Essential for Modern Healthcare

    04:44

  • 2.07 Case Study DeepMind AI for Breast Cancer Screening

    03:07

  • 2.08 Demo Analyzing EHR Risk Patterns Using ChatGPT

    07:14

  • 2.09 Key Takeaways

    00:52

• Lesson 03: AI for Clinical Applications

  01:04:58Preview

  • 3.01 Learning Objectives

    01:21

  • 3.02 Introduction to Clinical Care and the Role of AI

    02:08

  • 3.03 Overview of Clinical AI Applications

    04:05

  • 3.04 Evaluation of Clinical AI Applications

    01:03

  • 3.05 AI in Medical Imaging

    00:46

  • 3.06 AI in Radiology Workflow Clinical Utility and Key Use Cases

    04:18

  • 3.07 AI in Pathology Workflow Clinical Utility and Key Use Cases

    03:03

  • 3.08 Demo Summarizing Clinical Notes with ChatGPT Part 1

    09:23

  • 3.09 Demo Summarizing Clinical Notes with ChatGPT Part 2

    06:35

  • 3.10 Clinical Decision Support Systems Components and Functionality

    02:53

  • 3.11 How AI Assists Doctors in Decision Making

    03:24

  • 3.12 AI Assisted vs Traditional Clinical Decision Making

    01:39

  • 3.13 AI Based Patient Risk Prediction and Early Disease Detection

    01:14

  • 3.14 How AI Based Predictive Models Function in Practice

    00:58

  • 3.15 Clinical Scenarios with High Impact of AI Based Prediction

    01:26

  • 3.16 Case Study Mayo Clinics AI System for Early Detection of Heart Failure

    03:22

  • 3.17 AI Powered Treatment Personalization Clinical Use Cases

    04:54

  • 3.18 AI in Precision Medicine Concepts and Clinical Impact

    06:33

  • 3.19 AI in Drug Discovery and Genomics

    03:23

  • 3.20 Key Takeaways

    02:30

• Lesson 04: AI in Healthcare Operations

  01:27:50Preview

  • 4.01 Learning objectives

    01:59

  • 4.02 Introduction to Healthcare Operations

    03:31

  • 4.03 Overview of Operational Challenges in Healthcare

    03:23

  • 4.04 Impact of Operational Challenges

    02:05

  • 4.05 How AI Mitigates Healthcare Operational Challenges

    03:52

  • 4.06 Introduction to Hospital Administrative Workflows

    03:56

  • 4.07 Challenges in Hospital Administrative Workflows

    03:22

  • 4.08 How AI Improves Administrative Workflows

    02:26

  • 4.09 Hospital Operational Workflow Overview and Key Bottlenecks

    03:05

  • 4.10 Applying AI to Hospital Workflow Automation

    03:09

  • 4.11 Optimizing Patient Scheduling with AI

    05:37

  • 4.12 Optimizing Hospital Resource Management with AI

    05:34

  • 4.13 Remote Patient Monitoring Workflow AI and Roles

    06:56

  • 4.14 Demo Streamlining Appointment Scheduling and Reducing Wait Times with AI Part 1

    07:42

  • 4.15 Demo Streamlining Appointment Scheduling and Reducing Wait Times with AI Part 2

    08:45

  • 4.16 Understanding Healthcare Billing and Insurance Challenges

    04:42

  • 4.17 Applying AI Across Healthcare Billing Operations

    03:47

  • 4.18 Demo Using the Buoy AI Health Assistant for Symptom Checking

    12:15

  • 4.19 Key Takeaways

    01:44

• Lesson 05: AI for Public Health: Predicting Risks

  28:55Preview

  • 5.01 Learning Objectives

    00:52

  • 5.02 Introduction to Public Health and Data Collection

    03:29

  • 5.03 Public Health Data Collection and Community Analytics

    03:19

  • 5.04 Smart City and Healthcare Data Integration

    01:09

  • 5.05 Disease Trend Forecasting Using AI

    02:51

  • 5.06 AI Platforms Used in Public Health Surveillance

    00:56

  • 5.07 AI-Powered Public Health Surveillance and Decision Making

    00:55

  • 5.08 Case Study BlueDot AI Detected COVID 19 Outbreak Before Global Alerts

    02:05

  • 5.09 Demo Using Microsoft Copilot for Community Risk Assessment and Action Planning

    12:24

  • 5.10 Key Takeaways

    00:55

• Lesson 06: Responsible AI, Governance and Future of AI in Healthcare

  59:36Preview

  • 6.01 Learning Objectives

    03:20

  • 6.02 Introduction to Responsible AI in healthcare

    06:56

  • 6.03 Understanding AI Risks and Ethical Principles

    06:17

  • 6.04 Data Confidentiality in Healthcare AI

    03:38

  • 6.05 Protecting Patient Information and Managing AI Privacy Risks

    07:00

  • 6.06 Demo Identifying Protected Health Information in a Healthcare Dataset Using Microsoft Copilot

    13:20

  • 6.07 Understanding Bias and AI Governance in Healthcare

    05:15

  • 6.08 Healthcare AI Regulatory Considerations

    04:01

  • 6.09 Responsible AI Safeguards in Healthcare

    02:04

  • 6.10 Responsible AI Safeguards in Healthcare Privacy Safeguards and Bias Safeguards

    02:13

  • 6.11 Responsible AI Safeguards in Healthcare Governance Safeguards and Compliance Safeguards

    04:38

  • 6.12 Key Takeaways

    00:54