Hegselmann, Stefan

Large language models are few-shot clinical information extractors

Agrawal, M., Hegselmann, S., Lang, H., Kim, Y., & Sontag, D. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Machine Learning in HealthcareTopic Modeling

Cited by 358

Benchmark evaluation of DeepSeek large language models in clinical decision-making

Sandmann, S., Hegselmann, S., Fujarski, M., Bickmann, L., Wild, B., Eils, R., & Varghese, J. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 233

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models

Hegselmann, S., Shen, S. Z., Gierse, F., Agrawal, M., Sontag, D., & Jiang, X. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 6