Evgeniou, Theodoros

The need for a system view to regulate artificial intelligence/machine learning-based software as medical device

Gerke, S., Babic, B., Evgeniou, T., & Cohen, I. G. (2020) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationHealthcare Regulation

Cited by 359

Beware explanations from AI in health care

Babic, B., Gerke, S., Evgeniou, T., & Cohen, I. G. (2021) · Science

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 252

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

Abernethy, J., Bach, F., Evgeniou, T., & Vert, J.-P. (2008) · arXiv

Recommender Systems and TechniquesSparse and Compressive Sensing Techniques

Cited by 210

Algorithms on regulatory lockdown in medicine

Babic, B., Gerke, S., Evgeniou, T., & Cohen, I. G. (2019) · Science

Healthcare RegulationPharmacovigilance and Adverse Drug Reactions

Cited by 123

How AI can learn from the law: putting humans in the loop only on appeal

Cohen, I. G., Babic, B., Gerke, S., Xia, Q., Evgeniou, T., & Wertenbroch, K. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 51

A scoping review of robustness concepts for machine learning in healthcare

Balendran, A., Beji, C., Bouvier, F., Khalifa, O., Evgeniou, T., Ravaud, P., & Porcher, R. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 43

Algorithmovigilance, lessons from pharmacovigilance

Balendran, A., Benchoufi, M., Evgeniou, T., & Ravaud, P. (2024) · npj Digital Medicine

Pharmacovigilance and Adverse Drug ReactionsArtificial Intelligence in Healthcare and Education

Cited by 34