Basics of AI in Healthcare
Basics of AI in Healthcare
Last updated 7/2025
Duration: 1h 34m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 641.73 MB
Genre: eLearning | Language: English
Last updated 7/2025
Duration: 1h 34m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 641.73 MB
Genre: eLearning | Language: English
A Guide to AI in Healthcare: Machine Learning, Medical Data, Predictive Analytics, and Real-World Applications
What you'll learn
- Understand the core concepts of Artificial Intelligence, Machine Learning, and their applications in medical settings.
- Analyze different types of healthcare data and apply preprocessing techniques essential for AI modeling.
- Explore real-world use cases of AI in diagnostics, imaging, surgery, mental health, and hospital management.
- Evaluate the ethical, legal, and social challenges of implementing AI in healthcare, with a focus on fairness, privacy, and accountability.
Requirements
- There are no strict prerequisites for this course, it's designed to be beginner-friendly and accessible to learners from both healthcare and technology backgrounds. A basic understanding of healthcare systems or general interest in medical innovation is helpful. No coding or specialized tools are required—just curiosity and a willingness to explore the intersection of AI and healthcare.
Description
Artificial Intelligence is revolutionizing the way we diagnose diseases, manage patient care, and design treatment strategies. In this beginner-friendly course,Basics of AI in Healthcare, you’ll explore how AI, machine learning, and data science are reshaping the future of medicine—one algorithm at a time.
Whether you come from a medical, technical, or research background, this course is designed to give you a solid foundation in how AI tools are used in clinical settings, diagnostics, imaging, hospital management, and beyond. You'll learn about key technologies like machine learning, deep learning, and natural language processing (NLP), as well as practical applications including disease prediction, robotic surgery, drug discovery, and mental health monitoring.
We’ll also dive into real-world case studies—such as IBM Watson in cancer care, AI-powered retinal screening tools, and hospital logistics during the COVID-19 crisis—so you can see the impact of AI in action. Alongside the technical insights, you’ll gain awareness of important issues like algorithmic bias, ethical dilemmas, legal frameworks, and data privacy regulations (HIPAA, GDPR).
No coding skills? No problem! This course focuses on concepts, use cases, and real-world understanding—not programming. By the end, you’ll be equipped to discuss, evaluate, and even contribute to AI-powered healthcare innovations.
So if you’re curious about the future of digital health and want to understand the forces transforming modern medicine—this course is the perfect place to begin.
Who this course is for:
- This course is ideal for students, healthcare professionals, medical researchers, and tech enthusiasts who are curious about how artificial intelligence is transforming modern healthcare. Whether you're from a medical background looking to understand emerging technologies, or from a tech background aiming to enter the healthcare space, this course offers a comprehensive and accessible foundation. It’s also valuable for public health professionals, policy makers, and anyone interested in the future of digital health and medical innovation.
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