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Lysen, F., & Wyatt, S. (2024). Refusing participation: Hesitations about designing responsible patient engagement with artificial intelligence in healthcare. Journal of Responsible Innovation, 11(1), 2300161.


Jongsma, K., Solinge, W. W. van, & Haitjema, S. (2023). Acht misvattingen over AI in de zorg | NTvG. Nederlands Tijdschrift voor Geneeskunde, 167(D7578), 1–4.


Lysen, F. (2023, June). Baarmoederhalskankeronderzoek in vroege jaren. AnalyseVisie. Vakblad van de Nederlandse Vereniging van bioMedisch Laboratorium­medewerkers, 3, 10–12.

Milota, M. M., Drogt, J. M. T. M., & Jongsma, K. R. (2023). Making AI’s Impact on Pathology Visible: Using Ethnographic Methods for Ethical and Epistemological Insights. Digital Society, 2(3), 47.

Lysen, F. (2023). Errors and fallibility in radiology: X-ray readings and expert radiologists, 1947–1960. BJHS Themes, 8, 127–141.


Drogt, J., Milota, M., Vos, S., Bredenoord, A., & Jongsma, K. (2022). Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectationsModern Pathology, 35(11), 1540-1550. 

Jongsma, K., & Sand, M. (2022). AI in medical practice. In E. Di Nucci, J. Y. Lee, & I. A. Wagner (Eds.), The Rowman & Littlefield Handbook of Bioethics. Rowman & Littlefield.

Sand, M., Durán, J. M., & Jongsma, K. R. (2022). Responsibility beyond design: Physicians’ requirements for ethical medical AI. Bioethics, 36(2), 162-169.


Drogt, J., Milota, M., & Vos, S. (2021). The (in)visibility of human tissue (journey of a dermatological mole)The Polyphony. 

Vos, S. (2021). Uniek ethisch onderzoekNederlandse Vereniging Voor Pathologie, 1

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