This course on AI for Healthcare aims to teach learners about the applications of Artificial Intelligence in the healthcare sector, including diagnosis, treatment protocol development, drug discovery, personalized medicine, patient monitoring, and care. The course covers topics such as AI, Machine Learning, Deep Learning, Neural Networks, and CNNs through a hands-on demo. By the end of the course, students will understand how AI algorithms can be utilized to analyze electronic health records for illness prevention and diagnosis. The intended audience for this course includes individuals interested in the intersection of healthcare and technology, particularly those looking to explore the potential of AI in improving healthcare outcomes.
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
