Refresher Course: Breast
RC 2302 - Current applications of artificial intelligence (AI) in breast cancer imaging
Lectures
1
Chairperson's introduction
05:00Katja Pinker-Domenig, New York / US
2
Artificial intelligence (AI) in breast imaging: where we stand?
15:00Fredrik Strand, Stockholm / SE
3
AI in screening
15:00Tamar Sella, Jerusalem / IL
4
The role of radiomics and radio-genomics for breast cancer prognosis
15:00Katja Pinker-Domenig, New York / US
5
Panel discussion: Current challenges in the application of AI in screening
10:00Panel discussion: Current challenges in the application of AI in screening
5 min
Chairperson's introduction
Katja Pinker-Domenig, New York / United States
15 min
Artificial intelligence (AI) in breast imaging: where we stand?
Fredrik Strand, Stockholm / Sweden
1. To understand alternative implementations of AI in screening.
2. To know the results from prospective trials on AI in screening.
3. To have an overview of potential AI use outside of screening.
2. To know the results from prospective trials on AI in screening.
3. To have an overview of potential AI use outside of screening.
15 min
AI in screening
Tamar Sella, Jerusalem / Israel
1. To present the applications of artificial intelligence in screening methods (mammography/ DBT/ US and MRI).
2. To summarise AI's advantages and limitations in mammography, DBT, US and MRI.
3. To identify the challenges of the integration of AI into screening.
2. To summarise AI's advantages and limitations in mammography, DBT, US and MRI.
3. To identify the challenges of the integration of AI into screening.
15 min
The role of radiomics and radio-genomics for breast cancer prognosis
Katja Pinker-Domenig, New York / United States
1. To understand how AI can be used in predicting breast cancer.
2. To describe the role of AI-enhanced breast imaging in providing information on tumour prognostic factors.
3. To present the current limitations and emerging clinical applications of AI-enhanced breast imaging in clinical practice.
2. To describe the role of AI-enhanced breast imaging in providing information on tumour prognostic factors.
3. To present the current limitations and emerging clinical applications of AI-enhanced breast imaging in clinical practice.
10 min
Panel discussion: Current challenges in the application of AI in screening