| Impact of LLM Scale and Quantization on Information Extraction from Clinical Text | Studies in health technology and informatics |  | | 2026 | 9 | 5 |
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| HealthContradict : Evaluating biomedical knowledge conflicts in language models | npj digital medicine | | | 2026 | 31 | 122 |
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| Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis : An Application to Medical Specialty Choice | Opening the Personal Gate between Technology and Health Care : Proceedings of MIE 2026 | | | 2026 | 9 | 6 |
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| A dataset for evaluating clinical research claims in large language models | Scientific data | | | 2025 | 121 | 520 |
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| Analysis of eligibility criteria clusters based on large language models for clinical trial design | Journal of the American Medical Informatics Association | | | 2025 | 179 | 421 |
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| Leveraging Large Language Models for Synthetic Data Generation to Enhance Adverse Drug Event Detection in Tweets | Intelligent Health Systems – From Technology to Data and Knowledge | | | 2025 | 54 | 213 |
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| Synthesising evidence regarding artificial intelligence-generated radiological reports based on medical images : a scoping review protocol | BMJ open | | | 2025 | 37 | 110 |
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| An evaluation benchmark for adverse drug event prediction from clinical trial results | Scientific data | | | 2025 | 67 | 68 |
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| Assessment of Machine Learning Algorithms to Predict Medical Specialty Choice | Studies in health technology and informatics | | | 2025 | 68 | 170 |
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| Comparing neural language models for medical concept representation and patient trajectory prediction | Artificial intelligence in medicine | | | 2025 | 44 | 152 |
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| A scoping review of artificial intelligence applications in clinical trial risk assessment | npj digital medicine | | | 2025 | 64 | 341 |
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| ICU-TSB : A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts | Proceedings - IEEE Symposium on Computer-Based Medical Systems |  | | 2025 | 39 | 1 |
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| STM-GNN : Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks | Artificial Intelligence in Medicine : 23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part I | | | 2025 | 21 | 0 |
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| A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models | Scientific data | | | 2024 | 206 | 52 |
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| Detection of Patients at Risk of Multi-Drug Resistant Enterobacteriaceae Infection using Graph Neural Networks: a Retrospective Study | Health data science | | | 2023 | 166 | 77 |
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| Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios | Journal of chemical information and modeling | | | 2023 | 109 | 145 |
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| Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data | 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA) | | | 2023 | 108 | 2 |
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