E³ - Advanced Courses

E³ 322 - Artificial intelligence and translations to clinical practice

  • 3 Lectures
  • 73 Minutes
  • 3 Speakers
  • 2 Comments

Lectures

1
E³ 322 - A. Artificial intelligence (AI) use cases

E³ 322 - A. Artificial intelligence (AI) use cases

23:24B. Allen, Jr., Birmingham, AL / United States

Learning Objectives
1. To introduce the audience to the AI use cases developed by the American College of Radiology.
2. To learn about an ecosystem for developing AI algorithms that can be translated into clinical practice.
3. To discuss the hurdles and proposed solutions to getting regulatory approval for AI techniques.

2
E³ 322 - B. Challenges to objectively compare performance of AI applications

E³ 322 - B. Challenges to objectively compare performance of AI applications

25:16L. Maier-Hein, Heidelberg / Germany

Learning Objectives
1. To learn about the outcomes of a review of more than 150 challenges in medical imaging.
2. To learn about the metrics allowing the objective evaluation of AI algorithm performance.
3. To understand how new developments in AI challenges help to objectively evaluate the performance of algorithms.

3
E³ 322 - C. How far are we in getting AI into clinical practice?

E³ 322 - C. How far are we in getting AI into clinical practice?

24:23L. Martí-Bonmatí, Valencia / Spain

Learning Objectives
1. To critically review the current level of AI adoption in clinical practice.
2. To understand the need of data scientists working in radiology departments.
3. To discuss what next steps need to be taken in order to increase take-up in clinical practice.

Comments

Pierluigi Ciet

March 7, 2021 | 23:07 CET

Thanks for this session, quite important to understand limitation of AI in radiology

Harm Tiddens

March 6, 2021 | 10:47 CET

Excellent session  that gave me a good feeling of the big picture

Speakers

Presenter

Bibb Allen

Birmingham, United States

Presenter

Lena Maier-Hein

Heidelberg, Germany

Presenter

Luis Marti-Bonmati

Valencia, Spain

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