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.
Introduction to Generative AI in Healthcare
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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Recently updated!
December 2024
Assessments
5 assignments
Taught in English
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There are 5 modules in this course
This module provides an introduction to the course and its syllabus, laying the foundation for your learning journey. The introductory video offers insights into the skills and knowledge you will gain, while the course overview outlines key components and core values to deepen your understanding of the concepts.
What's included
1 video1 reading
This lesson introduces the core principles of Generative AI and its transformative role in healthcare. In this lesson, you will explore the concepts of Generative AI technologies like Natural Language Processing (NLP) and medical image generation. It covers the historical development of AI in healthcare and introduces practical applications such as diagnosis, treatment planning, and data analysis. This lesson builds a strong knowledge base for understanding how AI is transforming healthcare.
What's included
4 videos1 reading1 assignment
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
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
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.
What's included
4 videos1 reading2 assignments
Instructor
Offered by
Recommended if you're interested in Research
Politecnico di Milano
Fractal Analytics
University of Illinois Urbana-Champaign
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