E³ 720 - Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow

  • 3 Lectures
  • 30 Minutes
  • 3 Speakers

Lectures

1
E3 720 - A. Implementation of AI algorithms in picture archiving and communication systems (PACS)

E3 720 - A. Implementation of AI algorithms in picture archiving and communication systems (PACS)

09:04W. B. Veldhuis, Utrecht / NL

Learning Objectives
1. To learn about how you can start experimenting with AI in daily clinical routine.
2. To learn about developments to integrate multiple AI tools within one framework.
3. To learn about processes to evaluate AI algorithms for clinical use cases.

2
E³ 720 - B. How to best complement human intelligence with AI

E³ 720 - B. How to best complement human intelligence with AI

10:32C. J. Herold, Vienna / AT

Learning Objectives
1. To understand current and emerging concept for AI and machine learning in imaging.
2. To explore whether it is possible to success fully integrate AI into clinical practice today.
3. To learn how the radiologists can be assisted by AI.

3
E3 720 - C. AI, ethics and radiology

E3 720 - C. AI, ethics and radiology

11:40A. Brady, Cork / IE

Learning Objectives
1. To understand ethical aspects related to data use in AI.
2. To learn about possible bias in AI algorithms.
3. To learn how to prepare radiology policies for AI.

4
E3 720 - D. AI in radiology - Culture change

E3 720 - D. AI in radiology - Culture change

07:36H. Fleishon, Atlanta, GA / US

Learning Objectives
1. To review possible changes in radiology practices and departments due to implementation of AI workflows.
2. To present possible impact of AI on radiology macroeconomics.
3. To discuss educational innovations to introduce AI into radiology resident training. 

Speakers

Presenter

Wouter B. Veldhuis

Utrecht, Netherlands

Presenter

Adrian Brady

Cork, Ireland

Presenter

Howard Fleishon

Atlanta, United States