E³ 1326a - Artificial intelligence (AI) in breast imaging: potential perspectives and (unjustified) fears

  • 3 Lectures
  • 45 Minutes
  • 3 Speakers

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Lectures

1
Eu00b3 1326a - A. What a breast radiologist should know about artificial intelligence

Eu00b3 1326a - A. What a breast radiologist should know about artificial intelligence

16:04E. Giannotti, Nottingham / UK

Learning Objectives
1. To define all terms used in artificial intelligence topics.
2. To know the main domains of applications in breast imaging.
3. To understand the principles of deep learning algorithm.u00a0

2
E3 1326a - B. Deep learning algorithm applications in breast imaging

E3 1326a - B. Deep learning algorithm applications in breast imaging

20:43I. Thomassin-Naggara, Paris / FR

Learning Objectives
1. To understand when we need to train, validate, and apply an AI in clinical routine.
2. To appreciate the real value for diagnosis of the different existing algorithms.
3. To learn how we could use it for personalised screening.

3
E3 1326a - C. Radiomics and breast imaging

E3 1326a - C. Radiomics and breast imaging

16:27K. Pinker-Domenig, New York, NY / US

Learning Objectives1. To learn how a radiomic model may be built.
2. To know the main applications of radiomics in breast imaging.
3. To understand potential clinical implications of this domain.

Speakers

Presenter

Elisabetta Giannotti

Nottingham,

Presenter

Isabelle Thomassin-Naggara

Paris, France

Presenter

Katja Pinker-Domenig

New York, NY, United States

Artificial Intelligence

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