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.
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Expérience recommandée
Compétences que vous acquerrez
- Catégorie : Risk and Compliance Awareness
- Catégorie : AI Literacy
- Catégorie : Healthcare Technology Awareness
- Catégorie : Ethical Analysis in AI
- Catégorie : Critical Thinking and Problem-Solving
- Catégorie : Critical thinking and problem-solving
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décembre 2024
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Il y a 5 modules dans ce cours
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.
Inclus
1 vidéo1 lecture
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.
Inclus
4 vidéos1 lecture1 devoir
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.
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4 vidéos2 lectures1 devoir
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.
Inclus
4 vidéos1 lecture1 devoir
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.
Inclus
4 vidéos1 lecture2 devoirs
Instructeur
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Google Cloud
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.