About this course: AI in Healthcare

As the healthcare sector experiences significant changes due to digital transformation and technological innovation, Artificial Intelligence (AI) is emerging as a key player in shaping the future of healthcare. This course is designed to furnish healthcare professionals and scholars with essential insights, knowledge, and understanding about AI's role, its potential, and its limitations. It aims to inform about the intricate balance between technological capabilities and ethical, legal considerations in a healthcare setting.

The dual perspective of the course allows participants to view AI from the standpoint of clinicians who need to evaluate AI applications critically and from developers who must understand not only the technical aspects but also the healthcare-specific requirements to develop effective AI solutions.

Course highlights

• Institution: KULeuvenX
• Subject: Medicine
• Level: Advanced
• Language: English
• Video Transcript: English

What you will learn

• Define and understand the key factors that enable or limit AI technology in healthcare.
• Explain foundational AI concepts and techniques relevant to healthcare.
• Assess the benefits and risks associated with AI in clinical and healthcare contexts.
• Understand the data needs specific to healthcare and recognize pertinent societal, ethical, and legal boundaries.
• Analyze the current and potential impact of AI on healthcare processes and patient care.
• Explore case studies showcasing real-world AI applications in clinical environments.

Prerequisites

• Basic understanding of high school mathematics.
• A keen interest in healthcare and its evolving landscape.

Course Syllabus

Topics Covered

• Introduction to AI in Healthcare
• Key Concepts and Techniques of AI
• Assessing AI Applications in Clinical Practice
• Ethical, Legal, and Societal Considerations
• Case Studies and Real-World Applications of AI in Healthcare

Who should take this course?

This course is ideally suited for healthcare professionals, including nurses, doctors, and healthcare administrators, who wish to understand the potentials and limits of AI in their field. It is also beneficial for IT professionals and developers who are involved in designing and implementing AI solutions for healthcare applications. Students and scholars interested in the intersection of health and technology will also find valuable knowledge and insights.

Real-World Application

Understanding AI applications in healthcare can transform how professionals approach and solve complex challenges within the field. For healthcare professionals, these skills translate into better patient assessment, predictive analytics, and personalized medicine approaches. For developers, knowledge gained can help in creating more intelligent and sensitive technologies, directly impacting patient care quality and efficiency.