Explore the transformative potential of artificial intelligence in healthcare through this comprehensive video lecture. Delve into key concepts including machine learning, deep learning, and neural networks, while examining their practical applications in diagnosis, treatment protocols, drug discovery, and personalized medicine. Learn how AI algorithms analyze vast volumes of electronic health records for disease prevention and diagnosis. Gain insights into regression and classification problems in deep learning, and understand the potential risks of AI implementation in healthcare. Conclude with a hands-on demonstration and real-world use case, equipping you with essential knowledge to navigate the intersection of AI and health management.
Overview
Syllabus
Introduction to AI in Health Management .
Agenda .
What is AI? .
AI Timeline .
What is Machine Learning? .
Types of Machine Learning .
Types of Supervised Machine Learning .
What is Regression? .
What is Classification? .
What is Deep Learning?.
What is Neural Network? .
What is CNN? .
Terms related to Deep Learning.
How to solve Regression and Classification Problems in Deep Learning .
Applications of AI.
How AI can be disastrous in Healthcare? .
Usecase .
Summary .
Taught by
Great Learning
