PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification

Yuqin Liang; Paolo Bajardi; Guido Bologna; Francesco Bonchi; Gabriella Cortellessa; Andre Dekker; Francesca Fracasso; Manuela Joore; Nikos Paragios; Tim Rattay; Sofia Rivera; Cheryl Roumen; Johan van Soest; Alberto Traverso; Karolien Verhoeven; Iordanis Koutsopoulos; Christopher J. Talbot; PRE-ACT Study Consortium

doi:10.1016/j.jcpo.2024.100537

PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification

Yuqin Liang^*
, Paolo Bajardi
, Guido Bologna
, Francesco Bonchi
, Gabriella Cortellessa
, Andre Dekker
, Francesca Fracasso
, Manuela Joore
, Nikos Paragios
, Tim Rattay
, Sofia Rivera
, Cheryl Roumen
, Johan van Soest
, Alberto Traverso
, Karolien Verhoeven
, Iordanis Koutsopoulos
, Christopher J. Talbot
, PRE-ACT Study Consortium

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › Academic › peer-review

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Abstract

PRE-ACT leverages Artificial Intelligence (AI) to predict radiotherapy side effects in breast cancer patients, integrating complex imaging and genomics data. This Horizon Europe project aims to enhance shared decision-making by providing explainable predictions and tailored interventions, advancing personalised radiotherapy and improving patient outcomes.

Original language	English
Article number	100537
Number of pages	2
Journal	Journal of Cancer Policy
Volume	43
DOIs	https://doi.org/10.1016/j.jcpo.2024.100537
Publication status	Published - 1 Mar 2025

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Liang, Y., Bajardi, P., Bologna, G., Bonchi, F., Cortellessa, G., Dekker, A., Fracasso, F., Joore, M., Paragios, N., Rattay, T., Rivera, S., Roumen, C., van Soest, J., Traverso, A., Verhoeven, K., Koutsopoulos, I., Talbot, C. J., & PRE-ACT Study Consortium (2025). PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification. Journal of Cancer Policy, 43, Article 100537. https://doi.org/10.1016/j.jcpo.2024.100537

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title = "PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification",

abstract = "PRE-ACT leverages Artificial Intelligence (AI) to predict radiotherapy side effects in breast cancer patients, integrating complex imaging and genomics data. This Horizon Europe project aims to enhance shared decision-making by providing explainable predictions and tailored interventions, advancing personalised radiotherapy and improving patient outcomes.",

author = "Yuqin Liang and Paolo Bajardi and Guido Bologna and Francesco Bonchi and Gabriella Cortellessa and Andre Dekker and Francesca Fracasso and Manuela Joore and Nikos Paragios and Tim Rattay and Sofia Rivera and Cheryl Roumen and \{van Soest\}, Johan and Alberto Traverso and Karolien Verhoeven and Iordanis Koutsopoulos and Talbot, \{Christopher J.\} and \{PRE-ACT Study Consortium\}",

year = "2025",

month = mar,

day = "1",

doi = "10.1016/j.jcpo.2024.100537",

language = "English",

volume = "43",

journal = "Journal of Cancer Policy",

issn = "2213-5383",

publisher = "Elsevier",

}

Liang, Y, Bajardi, P, Bologna, G, Bonchi, F, Cortellessa, G, Dekker, A, Fracasso, F, Joore, M, Paragios, N, Rattay, T, Rivera, S, Roumen, C, van Soest, J, Traverso, A, Verhoeven, K, Koutsopoulos, I, Talbot, CJ & PRE-ACT Study Consortium 2025, 'PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification', Journal of Cancer Policy, vol. 43, 100537. https://doi.org/10.1016/j.jcpo.2024.100537

TY - JOUR

T1 - PRE-ACT

T2 - Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification

AU - Liang, Yuqin

AU - Bajardi, Paolo

AU - Bologna, Guido

AU - Bonchi, Francesco

AU - Cortellessa, Gabriella

AU - Dekker, Andre

AU - Fracasso, Francesca

AU - Joore, Manuela

AU - Paragios, Nikos

AU - Rattay, Tim

AU - Rivera, Sofia

AU - Roumen, Cheryl

AU - van Soest, Johan

AU - Traverso, Alberto

AU - Verhoeven, Karolien

AU - Koutsopoulos, Iordanis

AU - Talbot, Christopher J.

AU - PRE-ACT Study Consortium

PY - 2025/3/1

Y1 - 2025/3/1

N2 - PRE-ACT leverages Artificial Intelligence (AI) to predict radiotherapy side effects in breast cancer patients, integrating complex imaging and genomics data. This Horizon Europe project aims to enhance shared decision-making by providing explainable predictions and tailored interventions, advancing personalised radiotherapy and improving patient outcomes.

AB - PRE-ACT leverages Artificial Intelligence (AI) to predict radiotherapy side effects in breast cancer patients, integrating complex imaging and genomics data. This Horizon Europe project aims to enhance shared decision-making by providing explainable predictions and tailored interventions, advancing personalised radiotherapy and improving patient outcomes.

U2 - 10.1016/j.jcpo.2024.100537

DO - 10.1016/j.jcpo.2024.100537

M3 - Editorial

SN - 2213-5383

VL - 43

JO - Journal of Cancer Policy

JF - Journal of Cancer Policy

M1 - 100537

ER -

PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification

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