Moor, Michael

Foundation models for generalist medical artificial intelligence

Moor, M., Banerjee, O., Abad, Z. S. H., Krumholz, H. M., Leskovec, J., Topol, E. J., & Rajpurkar, P. (2023) · Nature

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 2,028

Early prediction of circulatory failure in the intensive care unit using machine learning

Hyland, S. L., Faltys, M., Hüser, M., Lyu, X., Gumbsch, T., Esteban, C., Bock, C., Horn, M., Moor, M., Rieck, B., et al. (2020) · Nature Medicine

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 477

Almanac — Retrieval-Augmented Language Models for Clinical Medicine

Zakka, C., Shad, R., Chaurasia, A., Dalal, A. R., Kim, J. L., Moor, M., Fong, R., Phillips, C., Alexander, K., Ashley, E., et al. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 424

AgentClinic: a multimodal benchmark for tool-using clinical AI agents

Schmidgall, S., Ziaei, R., Harris, C., Kim, J. W., Reis, E. P., Jopling, J., & Moor, M. (2026) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 344

Predicting sepsis using deep learning across international sites: a retrospective development and validation study

Moor, M., Bennett, N., Plečko, D., Horn, M., Rieck, B., Meinshausen, N., Bühlmann, P., & Borgwardt, K. (2023) · eClinicalMedicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 118

Agent Laboratory: Using LLM Agents as Research Assistants

Schmidgall, S., Su, Y., Wang, Z., Sun, X., Wu, J., Yu, X., Liu, J., Moor, M., Liu, Z., & Barsoum, E. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingNatural Language Processing Techniques

Cited by 59

Topological Graph Neural Networks

Horn, M., De Brouwer, E., Moor, M., Moreau, Y., Rieck, B., & Borgwardt, K. (2021) · arXiv

Advanced Graph Neural NetworksTopological and Geometric Data Analysis

Cited by 31

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Schmidgall, S., Ziaei, R., Harris, C., Reis, E., Jopling, J., & Moor, M. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 24

Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting

Yan, B., Liu, R., Kuo, D., Adithan, S., Reis, E., Kwak, S., Venugopal, V., O’Connell, C., Saenz, A., Rajpurkar, P., et al. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 22