Artificial selection

Artificial Intelligence in Imaging Applications and Use Cases








Artificial Intelligence in Imaging Applications and Use Cases





Artificial intelligence is a massive innovation in all aspects of life. From self-driving cars to talking digital assistants, to robots that can walk, jump and catch objects thrown at them. Medicine and in particular imaging are no different. It’s now been five years since the infamous and silly statement “radiologists will be obsolete in five years because of AI”.












In reality, radiologists are much more in demand than less years ago. We’ll explore why the AI ​​failed to answer some of these claims, understand how it works and how it learns. Once we understand how it works and how it learns, we are in a better position to consider selecting AI algorithms and integrating them into our own workflows.

The goal of AI is really to increase and improve our human resources, so that they can provide better and more efficient health care.

Benefits of the course:

  • Explain some of the key terms and definitions used in AI

  • Understand the differences between machine learning and deep learning algorithms

  • Engage in substantive discussions with vendors during AI selection regarding algorithm training and potential biases Diagram and blueprint for AI integrations in your local enterprise imaging environment

  • Evaluate and articulate the costs/benefits of AI and prepare a return on investment during the AI ​​selection process












For further details, please contact:

Event Name: Artificial Intelligence in Imaging Applications and Use Cases
Website: https://acsmb.com/
Dated: May 26, 2022

ACS

Mobile: (602) 263-8958
E-mail: [email protected]