AB
Bornet, Alban
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Impact of LLM Scale and Quantization on Information Extraction from Clinical Text | Studies in health technology and informatics |  | 2026 | 1 | 0 | ||
| HealthContradict : Evaluating biomedical knowledge conflicts in language models | npj digital medicine | | 2026 | 28 | 115 | ||
| 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 | 7 | 0 | ||
| A dataset for evaluating clinical research claims in large language models | Scientific data | | 2025 | 118 | 488 | ||
| Analysis of eligibility criteria clusters based on large language models for clinical trial design | Journal of the American Medical Informatics Association | | 2025 | 177 | 385 | ||
| 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 | 52 | 201 | ||
| Synthesising evidence regarding artificial intelligence-generated radiological reports based on medical images : a scoping review protocol | BMJ open | | 2025 | 35 | 94 | ||
| An evaluation benchmark for adverse drug event prediction from clinical trial results | Scientific data | | 2025 | 65 | 56 | ||
| Assessment of Machine Learning Algorithms to Predict Medical Specialty Choice | Studies in health technology and informatics | | 2025 | 66 | 151 | ||
| Comparing neural language models for medical concept representation and patient trajectory prediction | Artificial intelligence in medicine | | 2025 | 42 | 132 | ||
| A scoping review of artificial intelligence applications in clinical trial risk assessment | npj digital medicine | | 2025 | 62 | 331 | ||
| ICU-TSB : A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts | Proceedings - IEEE Symposium on Computer-Based Medical Systems |  | 2025 | 37 | 1 | ||
| 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 | 19 | 0 | ||
| A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models | Scientific data | | 2024 | 204 | 49 | ||
| Detection of Patients at Risk of Multi-Drug Resistant Enterobacteriaceae Infection using Graph Neural Networks: a Retrospective Study | Health data science | | 2023 | 164 | 76 | ||
| Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios | Journal of chemical information and modeling | | 2023 | 107 | 138 | ||
| 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 | 106 | 2 |
