E³ - Advanced Courses
E³ 322 - Artificial intelligence and translations to clinical practice
Lectures
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.
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.
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.
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. 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.
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.