AI Integration in Healthcare

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AI Integration in Healthcare

This course is part of AI for Healthcare Systems Specialization

Instructor: Jiban Khuntia

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand key AI algorithms and their applications in healthcare decision-making.
Learn the fundamentals of AI modeling, including data preparation, training, and evaluation.
Explore different AI model types and design principles for effective healthcare integration.

Skills you'll gain

Tools you'll learn

Classification Algorithms

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the AI for Healthcare Systems Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

This course covers essential AI concepts in healthcare, starting with key algorithms and their role in decision-making. Learners will explore the craft of AI modeling, from data preparation to evaluation, and examine different model-based algorithms, based on the learning process, such as supervised, unsupervised, and reinforced learning algorithms.

Provides hands-on understanding of learning algorithms, using supervised and unsupervised processes, tailored for healthcare data and applications.

What's included

5 videos1 reading1 assignment

5 videos Total 30 minutes

AI: The Shift to Learning Driven Systems 6 minutes
Learning-Centric AI in Healthcare 6 minutes
Four Main Categories of Machine Learning Algorithms 5 minutes
Classification and Regression in Supervised Learning Algorithms 4 minutes
Types of Supervised Learning Algorithms 10 minutes

1 reading Total 60 minutes

Module 1 Background Materials 60 minutes

1 assignment Total 30 minutes

Module 1 Quiz 30 minutes

Focuses on building effective AI models, from framing the problem to model training.

What's included

5 videos1 reading1 assignment

5 videos Total 22 minutes

Techniques in Unsupervised Learning Algorithms 4 minutes
Types of Unsupervised Learning Algorithms 7 minutes
Techniques in Semi-Supervised Learning Algorithms 5 minutes
Introducing Reinforcement Learning Algorithm 2 minutes
Types of Reinforcement Learning Algorithms 4 minutes

1 reading Total 60 minutes

Module 2 Background Materials 60 minutes

1 assignment Total 30 minutes

Module 2 Quiz 30 minutes

Explores categories of AI models, from predictive to diagnostic or descriptive systems.

What's included

4 videos1 reading1 assignment

Examines design principles for creating reliable and user-centered health AI systems.

What's included

4 videos1 reading1 assignment

4 videos Total 22 minutes

Using AI for Predictive Modeling in Healthcare 5 minutes
Using AI for Prescriptive Modeling in Healthcare 5 minutes
Using AI for Cognitive Modeling in Healthcare 5 minutes
The Step-by-Step Process of Models in Healthcare Using AI 7 minutes

1 reading Total 90 minutes

Module 4 Background Materials 90 minutes

1 assignment Total 30 minutes

Module 4 Quiz 30 minutes

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Instructor

Jiban Khuntia

University of Colorado System

4 Courses 4,737 learners

Offered by

University of Colorado System

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