| Human-Level Extraction of Modified Rankin Scale Scores from Real-World Neurosurgical Clinical Notes Using a Locally Deployed, Quantized Large Language Model | Machine learning and knowledge extraction |  | | 2026 | 1 | 0 |
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| Impact of LLM Scale and Quantization on Information Extraction from Clinical Text | Studies in health technology and informatics | | | 2026 | 12 | 52 |
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| CONORM-DEID : Robustness Evaluation of a Multilingual De-Identification System for Clinical Texts | Opening the Personal Gate between Technology and Health Care | | | 2026 | 5 | 15 |
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| HealthContradict : Evaluating biomedical knowledge conflicts in language models | npj digital medicine | | | 2026 | 35 | 140 |
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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 | 12 | 31 |
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| A dataset for evaluating clinical research claims in large language models | Scientific data | | | 2025 | 122 | 544 |
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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 | 180 | 449 |
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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 | 55 | 236 |
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| Synthesising evidence regarding artificial intelligence-generated radiological reports based on medical images : a scoping review protocol | BMJ open | | | 2025 | 40 | 126 |
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| An evaluation benchmark for adverse drug event prediction from clinical trial results | Scientific data | | | 2025 | 68 | 92 |
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| Assessment of Machine Learning Algorithms to Predict Medical Specialty Choice | Studies in health technology and informatics | | | 2025 | 72 | 188 |
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| Comparing neural language models for medical concept representation and patient trajectory prediction | Artificial intelligence in medicine | | | 2025 | 46 | 174 |
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| A scoping review of artificial intelligence applications in clinical trial risk assessment | npj digital medicine | | | 2025 | 66 | 356 |
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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 | 40 | 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 | 23 | 0 |
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| A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models | Scientific data | | | 2024 | 207 | 54 |
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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 | 167 | 79 |
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| Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios | Journal of chemical information and modeling | | | 2023 | 110 | 155 |
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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 | 109 | 2 |
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