Research output per year
Research output per year
Personal profile
Personal webpage
my academic webpage is https://vanamsterdam.github.io
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation
Joshi, S., Urteaga, I., Van Amsterdam, W. A. C., Hripcsak, G., Elias, P., Recht, B., Elhadad, N., Fackler, J., Sendak, M. P., Wiens, J., Deshpande, K., Wald, Y., Fiterau, M., Lipton, Z., Malinsky, D., Nayan, M., Namkoong, H., Park, S., Vogt, J. E. & Ranganath, R., 1 Mar 2025, In: Journal of the American Medical Informatics Association. 32, 3, p. 589-594 6 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Downloads (Pure) -
Causal Inference in Oncology: Why, What, How and When
van Amsterdam, W. A. C., Elias, S. & Ranganath, R., Feb 2025, In: Clinical Oncology. 38, 103616.Research output: Contribution to journal › Review article › peer-review
Open AccessFile -
When accurate prediction models yield harmful self-fulfilling prophecies
van Amsterdam, W. A. C., van Geloven, N., Krijthe, J. H., Ranganath, R. & Cinà, G., 11 Apr 2025, In: Patterns. 6, 4, 9 p., 101229.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Downloads (Pure) -
Baseline tumor-infiltrating lymphocyte patterns and response to immune checkpoint inhibition in metastatic cutaneous melanoma
van Duin, I. A. J., Schuiveling, M., ter Maat, L. S., van Amsterdam, W. A. C., van den Berkmortel, F., Boers-Sonderen, M., de Groot, J. W. B., Hospers, G. A. P., Kapiteijn, E., Labots, M., Piersma, D., Schrader, A. M. R., Vreugdenhil, G., Westgeest, H., Veta, M., Blokx, W. A. M., van Diest, P. J. & Suijkerbuijk, K. P. M., Sept 2024, In: European Journal of Cancer. 208, 8 p., 114190.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure) -
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma
Ter Maat, L. S., De Mooij, R. A. J., Van Duin, I. A. J., Verhoeff, J. J. C., Elias, S. G., Leiner, T., van Amsterdam, W. A. C., Troenokarso, M. F., Arntz, E. R. A. N., Van den Berkmortel, F. W. P. J., Boers-Sonderen, M. J., Boomsma, M. F., Van den Eertwegh, F. J. M., de Groot, J. W., Hospers, G. A. P., Piersma, D., Vreugdenhil, A., Westgeest, H. M., Kapiteijn, E. & De Wit, A. A. & 6 others, , 30 Dec 2024, In: Scientific Reports. 14, 1, 31668.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Downloads (Pure)