Introduction to AI & Machine Learning in Healthcare
Discover how AI and ML revolutionize healthcare through fundamental concepts, ethical considerations, and practical clinical applications.
Discover how AI and ML revolutionize healthcare through fundamental concepts, ethical considerations, and practical clinical applications.
This introductory course provides a comprehensive foundation in Artificial Intelligence (AI) and Machine Learning (ML) specifically within healthcare contexts. You'll learn how these transformative technologies enhance both clinical and operational decision-making processes across the healthcare industry. The self-paced curriculum explores fundamental AI and ML concepts, theories, and principles through real-world healthcare applications and examples. The course is structured across five progressive modules covering AI's impact on healthcare, legal and ethical considerations including privacy concerns, healthcare data basics, fundamental machine learning algorithms, and case studies demonstrating practical implementations. You'll engage with current debates and discussions about the latest AI trends in healthcare while staying updated with cutting-edge research. The course connects technical concepts to practical healthcare scenarios, making it accessible for anyone seeking to understand how AI is reshaping the future of healthcare delivery and management. Perfect for healthcare professionals, administrators, and anyone interested in the intersection of technology and healthcare, this course requires no prior experience in AI or ML.
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What you'll learn
Define AI and ML terminology and understand their transformative impact on healthcare Explore legal, ethical, and privacy implications of implementing AI in healthcare Describe fundamentals of healthcare data and its significance in AI applications Explain basic machine learning algorithms and their applications in healthcare Analyze real-world case studies demonstrating AI and ML solutions in healthcare
Skills you'll gain
This course includes:
PreRecorded video
Graded assessments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This course provides a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML) in healthcare contexts. Over five modules, you'll build a solid foundation in AI/ML fundamentals while exploring their practical applications in healthcare settings. The curriculum begins with an overview of AI's impact on healthcare before examining crucial legal, ethical, and privacy considerations specific to medical applications. You'll learn about healthcare data fundamentals and how they support AI implementations, explore basic machine learning algorithms relevant to health applications, and analyze real-world case studies showing AI/ML solutions in action. The course connects theoretical concepts to practical healthcare scenarios throughout, helping you understand how these technologies are transforming both clinical decision-making and operational efficiency in healthcare organizations. All content is presented with healthcare professionals in mind, making complex technological concepts accessible regardless of your technical background.
Module 1: Overview of AI and its Impact on Healthcare
Module 1
Module 2: AI Legal and Ethical Considerations including Privacy Concerns
Module 2
Module 3: Basics of Data & Healthcare
Module 3
Module 4: Basic Machine Learning Algorithms
Module 4
Module 5: Case Studies of AI & ML in Healthcare
Module 5
Fee Structure
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Financial Aid
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.