Umeton, Renato

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

Waring, J., Lindvall, C., & Umeton, R. (2020) · Artificial Intelligence in Medicine

Machine Learning and Data ClassificationArtificial Intelligence in Healthcare and Education

Cited by 834

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, J., Afshar, M., Ameen, S., Aphinyanaphongs, Y., Chen, S., Cacciamani, G., Demner-Fushman, D., Dligach, D., Daneshjou, R., Fernandes, C., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 615

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., et al. (2023) · Nature Medicine

Machine Learning in HealthcarePancreatic and Hepatic Oncology Research

Cited by 349

Federated benchmarking of medical artificial intelligence with MedPerf

Karargyris, A., Umeton, R., Sheller, M. J., Aristizabal, A., George, J., Wuest, A., Pati, S., Kassem, H., Zenk, M., Baid, U., et al. (2023) · Nature Machine Intelligence

Artificial Intelligence in Healthcare and EducationPrivacy-Preserving Technologies in Data

Cited by 188

ESMO guidance on the use of Large Language Models in Clinical Practice (ELCAP)

Wong, E. Y. T., Verlingue, L., Aldea, M., Franzoi, M. A., Umeton, R., Halabi, S., Harbeck, N., Indini, A., Prelaj, A., Romano, E., et al. (2025) · Annals of Oncology

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 44