Matthew Field

Matthew Field

Director of AI Medicine and Engineering. Electrical engineer and AI researcher working across federated learning, medical image analysis, robotics, and healthcare data systems.

Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non–small Cell Lung Cancer Using Real-World Data

Published in Clinical Oncology, 2024

Graphical abstract

Graphical abstract showing a seven-clinic federated learning workflow for stage I-III non-small cell lung cancer radiotherapy, with 1655 eligible patients, model AUC 0.68, and a projected 11% increase in 2-year survival.

Authors: M. Field, S. Vinod, G. P. Delaney, N. Aherne, M. Bailey, M. Carolan, A. Dekker, S. Greenham, E. Hau, J. Lehmann, J. Ludbrook, A. Miller, A. Rezo, J. Selvaraj, J. Sykes, D. Thwaites, L. Holloway

Published in: Clinical Oncology

DOI / Publisher link: https://doi.org/10.1016/j.clon.2024.03.008

Keywords: Decision support, federated learning, lung cancer, machine learning, radiation oncology

BibTeX: Download

Recommended citation: M. Field, S. Vinod, G. P. Delaney, N. Aherne, M. Bailey, M. Carolan, A. Dekker, S. Greenham, E. Hau, J. Lehmann, J. Ludbrook, A. Miller, A. Rezo, J. Selvaraj, J. Sykes, D. Thwaites, L. Holloway (2024). "Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non–small Cell Lung Cancer Using Real-World Data." Clinical Oncology. 36(7), e197-e208.
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