Introduction to Generative AI in Healthcare

This course is part of multiple programs.

Instructor: Farhan Nek

Access provided by ExxonMobil

5,166 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

48 reviews

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

48 reviews

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

This course "Introduction to Generative AI in Healthcare" offers a comprehensive introduction to Generative AI in Healthcare, designed specifically for individuals who are curious about the intersection of cutting-edge technology and the medical field. Whether you are a healthcare professional, a tech enthusiast, or someone eager to understand how artificial intelligence (AI) is revolutionizing the healthcare industry, this course will provide you with foundational knowledge and actionable insights to navigate this exciting space.

The primary focus of this course is to demystify Generative AI and demonstrate its practical applications in healthcare. Learners will explore how AI-driven tools are transforming diagnosis, treatment planning, medical imaging, and more. By the end of the course, participants will have a clear understanding of how Generative AI can enhance efficiency, improve patient outcomes, and even address some of the longstanding challenges faced by the healthcare industry.

This module provides an introduction to the course and its syllabus, laying the foundation for your learning journey. Next, you will be introduced to the concepts of Generative AI technologies like Natural Language Processing (NLP) and medical image generation and its transformative role in healthcare. The module also covers the historical development of AI in healthcare and introduces practical applications such as diagnosis, treatment planning, and data analysis.

What's included

5 videos2 readings1 assignment

5 videosTotal 33 minutes

Welcome to the Course3 minutes
Transforming Healthcare: Discovering the Possibilities of Generative AI6 minutes
The AI Toolkit: Key Technologies Powering Healthcare Transformation8 minutes
How AI is Shaping the Future of Medicine: A Historical Perspective9 minutes
Real-World Impact: Generative AI in Action Across Healthcare6 minutes

2 readingsTotal 15 minutes

Course Overview5 minutes
Generative AI in Healthcare: Unveiling Its Potential10 minutes

1 assignmentTotal 15 minutes

Practice Quiz- Unlocking the Basics of Generative AI in Healthcare15 minutes

This lesson dives into the practical application of AI technologies to solve real-world healthcare challenges. You will engage in scenario-based tasks that involve selecting and applying AI tools (such as NLP) to medical data, enhancing diagnostics and treatment planning. The hands-on component of this lesson will deepen your skills in using AI to meet actual healthcare needs.

What's included

4 videos2 readings1 assignment

4 videosTotal 33 minutes

Tackling Healthcare’s Biggest Problems: How AI Can Help8 minutes
NLP in Action: Extracting Insights from Healthcare Data9 minutes
A Case Study in AI-Assisted Diagnostics: Delivering Results with AI8 minutes
Seamlessly Integrating AI into Everyday Healthcare Workflows8 minutes

2 readingsTotal 30 minutes

NLP’s Role in Modern Healthcare: Unlocking the Power of Medical Data10 minutes
Choose Your AI Tool: Solving a Healthcare Diagnosis Challenge20 minutes

1 assignmentTotal 15 minutes

Practice Quiz- Solving Real Healthcare Challenges with AI15 minutes

This lesson delves into the ethical considerations that arise when implementing Generative AI in healthcare, with a focus on privacy, bias, and accountability. You will engage with case studies that highlight ethical dilemmas healthcare professionals face when using AI. The lesson also covers the regulatory and legal frameworks that guide AI applications in healthcare, ensuring you understand the responsibilities that come with AI deployment.

What's included

4 videos1 reading1 assignment

4 videosTotal 26 minutes

Ethics 101: Understanding AI’s Impact on Healthcare Privacy and Trust6 minutes
Addressing Bias and Privacy: The Ethical Dilemmas of AI in Medicine6 minutes
Real-World Case Study: Ethical Challenges in AI-Driven Healthcare7 minutes
Complying with the Law: AI’s Legal Framework in Healthcare6 minutes

1 readingTotal 10 minutes

Ethics in Healthcare AI: Balancing Innovation and Responsibility10 minutes

1 assignmentTotal 15 minutes

Practice Quiz- Navigating the Ethical Landscape of AI in Healthcare15 minutes

After exploring the foundational concepts and ethical implications of Generative AI, this lesson focuses on evaluating the tangible benefits and limitations of AI technologies in healthcare. This lesson offers a critical evaluation of the advantages and challenges of implementing AI in healthcare. You will explore success stories where AI has improved patient outcomes and operational efficiency, while also considering the limitations of AI technologies. The lesson emphasizes the importance of balancing AI with human judgment, ensuring that AI complements healthcare professionals without replacing essential human expertise.