Kant, Ilse M. J.

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

de Hond, A. A. H., Leeuwenberg, A. M., Hooft, L., Kant, I. M. J., Nijman, S. W. J., van Os, H. J. A., Aardoom, J. J., Debray, T. P. A., Schuit, E., van Smeden, M., et al. (2022) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 499

The digital scribe in clinical practice: a scoping review and research agenda

van Buchem, M. M., Boosman, H., Bauer, M. P., Kant, I. M. J., Cammel, S. A., & Steyerberg, E. W. (2021) · npj Digital Medicine

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 152

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

van Buchem, M. M., Kant, I. M. J., King, L., Kazmaier, J., Steyerberg, E. W., & Bauer, M. P. (2024) · JMIR AI

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 70

From text to treatment: the crucial role of validation for generative large language models in health care

de Hond, A., Leeuwenberg, T., Bartels, R., van Buchem, M., Kant, I., Moons, K. G., & van Smeden, M. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 53

Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

van der Meijden, S. L., de Hond, A. A. H., Thoral, P. J., Steyerberg, E. W., Kant, I. M. J., Cinà, G., & Arbous, M. S. (2023) · JMIR Human Factors

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 39