Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning

Artificial intelligence (AI) in oncology

Lectures

1
Introduction by the moderator - Melvin D'Anastasi, Msida / MT

Introduction by the moderator - Melvin D'Anastasi, Msida / MT

04:00

2
CT radiomics for malignancy prediction of renal cysts - Zohaib Salahuddin, Maastricht / NL

CT radiomics for malignancy prediction of renal cysts - Zohaib Salahuddin, Maastricht / NL

08:00

3
Prospective post-marketing surveillance of AI for breast cancer screening in clinical practice - Danalyn Byng, Berlin / DE

Prospective post-marketing surveillance of AI for breast cancer screening in clinical practice - Danalyn Byng, Berlin / DE

08:00

4
Artificial intelligence may lead to unexpected changes in the balance of benefits and harms in lung cancer screening - Victor Gombolevskiy, Moscow / RU

Artificial intelligence may lead to unexpected changes in the balance of benefits and harms in lung cancer screening - Victor Gombolevskiy, Moscow / RU

08:00

5
Transferability and added benefit between three different diffusion sequences in prostate MRI deep learning for detection of significant prostate cancer - Nils Netzer, Heidelberg / DE

Transferability and added benefit between three different diffusion sequences in prostate MRI deep learning for detection of significant prostate cancer - Nils Netzer, Heidelberg / DE

08:00

6
Minimally interactive AI-based segmentation of lymph nodes and soft tissue lesions in follow-up CT - Alessa Hering, Lübeck / DE

Minimally interactive AI-based segmentation of lymph nodes and soft tissue lesions in follow-up CT - Alessa Hering, Lübeck / DE

08:00

7
Liver lesions follow-up changes analysis in CECT by deep learning classification: a phantom study - Jacob Sosna, Jerusalem / IL

Liver lesions follow-up changes analysis in CECT by deep learning classification: a phantom study - Jacob Sosna, Jerusalem / IL

08:00