J.P.A. van Soest

van Daalen, F., Jacquemin, M., van Soest, J., Stahl, N., Townend, D., Dekker, A., & Bermejo, I. (2025). A critique of current approaches to privacy in machine learning. Ethics and Information Technology, 27(3), Article 32. https://doi.org/10.1007/s10676-025-09843-4

van Soest, J., Sanchez Gomez, L., Wee, L., & Dekker, A. (2025). A Governance Framework for Federated Learning Projects in Healthcare. Studies in Health Technology and Informatics, 327, 258-262. https://doi.org/10.3233/SHTI250324

Akhmad, E., Slob, D., Lobo Gomes, A., Dekker, A., & van Soest, J. (2025). What to Report? A Systematic Review of Medical AI Reporting Guidelines: Preliminary Results. Studies in Health Technology and Informatics, 327, 390-391. https://doi.org/10.3233/SHTI250351

Rattay, T., Verhoeven, K., Bergeaud, M., Bologna, G., Cortellessa, G., Dekker, A., Fracasso, F., Joore, M., Koutsopoulos, I., Liang, Y., Panisson, A., Perotti, A., Ramaekers, B., Roumen, C., van Soest, J., Stobart, H., Talbot, C. J., Webb, A. J., Rivera, S., & PRE-ACT Study Consortium (2025). PRE-ACT-01: The Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification-01 Trial. Breast, 80, Article 104247. https://doi.org/10.1016/j.breast.2025.104247

Price, G., Peek, N., Eleftheriou, I., Spencer, K., Paley, L., Hogenboom, J., van Soest, J., Dekker, A., van Herk, M., & Faivre-Finn, C. (2025). An Overview of Real-World Data Infrastructure for Cancer Research. Clinical Oncology, 38, Article 103545. https://doi.org/10.1016/j.clon.2024.03.011

Choudhury, A., Volmer, L., Martin, F., Fijten, R., Wee, L., Dekker, A., & van Soest, J. (2025). Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study. JMIR AI, 4, Article e60847. https://doi.org/10.2196/60847

Osong, B., Hasannejadasl, H., van der Poel, H., Vanneste, B., van Roermund, J., Aben, K., Van Soest, J., Van Oort, I., Hochstenbach, L., Bloemen- van Gurp, E. J., Dekker, A., & Fijten, R. R. R. (2024). The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian network. Technical Innovations and Patient Support in Radiation Oncology, 31, Article 100234. https://doi.org/10.1016/j.tipsro.2024.100234

Janssen, E. R. C., Punt, I. M., van Soest, J., Heerkens, Y. F., Stallinga, H. A., Ten Napel, H., van Rhijn, L. W., Mons, B., Dekker, A., Willems, P. C., & van Meeteren, N. L. U. (2024). Operationalizing and digitizing person-centered daily functioning: a case for functionomics. BMC Medical Informatics and Decision Making, 24(1), Article 184. https://doi.org/10.1186/s12911-024-02584-2

Choudhury, A., Janssen, E., Bongers, B. C., van Meeteren, N. L. U., Dekker, A., & van Soest, J. (2024). Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train. BMC Medical Informatics and Decision Making, 24(1), Article 121. https://doi.org/10.1186/s12911-024-02526-y

Rattay, T., Bologna, G., Bombezin-Domino, A., Cortellessa, G., Dekker, A., Fracasso, F., Joore, M., Pannison, A., Perotti, A., Ramaekers, B. L. T., Rivera, S., Romita, A., Roumen, C., van Soest, J., Traverso, A., Tohidinezhad, F., Verhoeven, K., Webb, A. J., Koutsopoulos, I., ... PRE-ACT Study Consortium (2024). Development of an explainable AI prediction model for arm lymphoedema following breast cancer surgery and radiotherapy. European Journal of Cancer, 200, 19-19. https://doi.org/10.1016/j.ejca.2024.113624