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Day 2

05 G. Gavriilidis - Principles of Machine Learning Speaker

05 G. Gavriilidis - Principles of Machine Learning Speaker

06 A. Vrahatis - From Neural networks deep to reinforcement learning Speaker

06 A. Vrahatis - From Neural networks deep to reinforcement...

07 N. Korfiatis - Data trustworthiness and lineage in clinical AI applications Speaker

07 N. Korfiatis - Data trustworthiness and lineage in clinic...

08 M. Spector - Radiomics and their use in diagnostics and screening

08 M. Spector - Radiomics and their use in diagnostics and s...

09 R. Perez­Lopez - Radiomics and their use in the clinic and for precision medicine

09 R. Perez­Lopez - Radiomics and their use in the clinic an...

10 L. Verlingue - AI and its role in the clinical trials’ journey

10 L. Verlingue - AI and its role in the clinical trials’ jo...

11 T. Choueiri - Unlocking the power of Big Data: Insights from the GU oncology division at DFCI

11 T. Choueiri - Unlocking the power of Big Data: Insights f...

12 E. Christodoulou - Evaluation metrics for medical imaging AI

12 E. Christodoulou - Evaluation metrics for medical imaging...

13 D. Truhn - Federated and swarm learning: when will this be feasible?

13 D. Truhn - Federated and swarm learning: when will this b...

14 E. Felip - Diagnosis and decision­support tools: the example of digital­twin in respiratory disease

14 E. Felip - Diagnosis and decision­support tools: the exam...

15 S. Caruso - Digital Pathology in diagnostic workflows

15 S. Caruso - Digital Pathology in diagnostic workflows

16 A.T. Pearson - Digital pathology, pathogenomics and unconventional pathomics

16 A.T. Pearson - Digital pathology, pathogenomics and uncon...

17 Questions

17 Questions