Artificial Intelligence in Healthcare: Fundamentals and Applications
Harness the power of artificial intelligence (AI) to elevate modern-day medical treatments
- START DATE December 17, 2024 More Dates
- TIME COMMITMENT 5-7 hours/week
- DURATION 7 weeks
- FORMAT Online
- CEUs 3.5
- PRICE $2,600
WHAT YOU WILL LEARN
MIT xPRO is collaborating with online education provider Emeritus to deliver this online course. By clicking LEARN MORE, you will be taken to a page where you can download the brochure and apply to the program via Emeritus.
- Learn about the AI design process model through its various stages
- Understand different machine learning algorithms and how they can be applied in varying scenarios
- Examine neural network NLP algorithms and their widespread application
- Discover the possibilities and limitations of biomechatronics
- Use the four stages of the AI design process model to solve a technical healthcare problem
- Run an implementation of a single- and multi-layer perceptron in Python
- Develop an idea for an ingestible robot to solve a healthcare problem
- Use the Peloton framework, designed by Brian Subirana, within your specific healthcare domain
- Assess business and technical requirements for AI
- Map the AI design process, and arrive at a cost model
- Resolve a communication problem while using prosthetics
- Develop an AI product or service for healthcare
WHO SHOULD ENROLL
- Technical professionals who are looking to add AI products and services to their skill set to empower patient care
- Clinical leaders seeking to sharpen their understanding of AI products and methodologies to advance patient treatment
- Healthcare consultants who are looking to upgrade their knowledge about new technologies to shape AI strategies for their organizations
- Organizational leaders who are searching for AI solutions to advance the healthcare industry
- Prerequisites for the program: A basic understanding of AI, machine learning, and data science is ideal to make the most of this program.