Identification of serious illness conversations in unstructured clinical notes using deep neural networks. - Isabel Chien; Alvin Shi; Alex Chan; Charlotta Lindvall (AIH@IJCAI, 2018)

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation. - Kexin Huang; Abhishek Singh; Sitong Chen; Edward T. Moseley; Chih-ying Deng; Naomi George; Charlotta Lindvall (ClinicalNLP@EMNLP, 2020)

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare. - Jonathan Waring; Charlotta Lindvall; Renato Umeton (Artif. Intell. Medicine, 2020)

Latent bias and the implementation of artificial intelligence in medicine. - Matthew Decamp; Charlotta Lindvall (J. Am. Medical Informatics Assoc., 2020)

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study. - Kexin Huang; Tamryn F. Gray; Santiago Romero-Brufau; James A. Tulsky; Charlotta Lindvall (J. Am. Medical Informatics Assoc., 2021)

21st Century Cures Act: ethical recommendations for new patient-facing products. - Brigitte N. Durieux; Matthew Decamp; Charlotta Lindvall (J. Am. Medical Informatics Assoc., 2022)

MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning. - Joshua Davis; Thomas Sounack; Kate Sciacca; Jessie M. Brain; Brigitte N. Durieux; Nicole D. Agaronnik; Charlotta Lindvall (CoRR, 2025)

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP. - Thomas Sounack; Joshua Davis; Brigitte N. Durieux; Antoine Chaffin; Tom J. Pollard; Eric Lehman; Alistair E. W. Johnson; Matthew B. A. McDermott; Tristan Naumann; Charlotta Lindvall (CoRR, 2025)