Tolsgaard, Martin Grønnebæk

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Lekadir, K., Frangi, A. F., Porras, A. R., Glocker, B., Cintas, C., Langlotz, C. P., Weicken, E., Asselbergs, F. W., Prior, F., Collins, G. S., et al. (2025) · BMJ

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 957

The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156.

Tolsgaard, M. G., Pusic, M. V., Sebok-Syer, S. S., Gin, B., Svendsen, M. B., Syer, M. D., Brydges, R., Cuddy, M. M., & Boscardin, C. K. (2023) · Medical Teacher

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Education

Cited by 137

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Sendra-Balcells, C., Campello, V. M., Torrents-Barrena, J., Ahmed, Y. A., Elattar, M., Ohene-Botwe, B., Nyangulu, P., Stones, W., Ammar, M., Benamer, L. N., et al. (2023) · Scientific Reports

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 57

Artificial scholarship: LLMs in health professions education research

Ellaway, R. H., & Tolsgaard, M. (2023) · Advances in Health Sciences Education

Academic integrity and plagiarismArtificial Intelligence in Healthcare and Education

Cited by 36

Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization

Andreasen, L. A., Feragen, A., Christensen, A. N., Thybo, J. K., Svendsen, M. B. S., Zepf, K., Lekadir, K., & Tolsgaard, M. G. (2023) · Scientific Reports

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 28