'Breaking Barriers: Addressing Algorithmic Bias for Equitable Cancer Care Access 'will focus on critical issues such as AI and discrimination, regulating AI in healthcare, gender bias in AI, and equitable AI creation through discussions and research presentations. The event is sponsored from Health Research Board and Lero.
Keynote and Speakers
Opening Address
'Expect the Unexpected : Importance of open science and federated learning in AI'
Aedin Culhane, Professor of Cancer Genomics, School of Medicine, University of Limerick, Director of the Limerick Digital Cancer Research Centre and the co-lead of the All-Island eHealth Hub for Cancer Award.UL
Keynote: 'Foundation Models in Healthcare Require Rethinking Reliability'
Thomas Grote, Research Fellow, University of Tübingen, Germany. Ethics and Philosophy Lab, Cluster of Excellence, Machine Learning: New Perspectives for Science
'Regulating AI in Healthcare: Hurdles and Opportunities'
Barry Solaiman, Associate Dean and Assistant Professor of Law and Adjunct Assistant Professor of Clinical Medical Ethics, Weill Cornell Medicine, Qatar
'Algorithmic Bias in Prostate Cancer Diagnosis: A Case Study'
Amir Jalali, Associate Professor of Biostatistics School of Medicine, University of Limerick, Ireland
'Sex and Gender Bias in Artificial Intelligence for Health'
Davide Cirillo, Machine Learning for Biomedical Research Unit, Life Sciences Department, Barcelona Supercomputing Centre, Spain
'Data Harmonization'
Ruth Clifford, Consultant Haematologist at University Hospital Limerick and Adjunct Associate Professor, School of Medicine, University of Limerick, Ireland
'Fostering Inclusion of Underserved Groups in Cancer Clinical Trials'
Patrick O' Donnell, Associate Professor of General Practice, School of Medicine, and Sarah Dillon, Assistant Professor, School of Allied Health, University of Limerick, Ireland
'Authorization of and access to precision oncology treatments in Europe and Ireland'
Brendan Reardon, University of Limerick and Dana Farber Cancer Institute, Boston, USA
