Publikationer
Beyond ICD-10: Natural Language Processing Identifies Catheter-Associated Thrombosis in Hospitalised Children. Alnor AB, Hornes HH, Laursen MS, Lynggaard RB, Vinholt PJ. Pediatr Blood Cancer. 2026 Sep;73(9):e70519. doi: 10.1002/1545-5017.70519. Epub 2026 Jul 24. PMID: 42496578.
Evaluation of AI-assisted chart review for acute myocardial infarction and cardiogenic shock. Jeppesen KK, Lindhardt RB, Klein A, Illum E, Lynggaard RB, Banke A , Møller JE, Ravn HB, Vinholt PJ. Dan Med J 2026;73(5):A10250874
One-year cancer risk after detection of blast cells in peripheral blood. Vinholt, P. J., Lynggaard, R. B., Mortensen, K. S. B., Sandberg, M. B., Gradel, K. O., Roug, A. S., & Frederiksen, H. (2026). Scandinavian Journal of Clinical and Laboratory Investigation, 1-9.
Risikoen for forkerte kliniske beslutninger. Vinholt PJ. Bibl Læger 2026; 218:66-75.
Extracting intraoperative blood loss from unstructured clinical narratives. Alnor AB, Lynggaard RB, Pedersen LE, Storgaard J, Laursen MS, Vinholt PJ.J Clin Anesth. 2026 Feb. doi: 10.1016/j.jclinane.2025.112101. Epub 2025 Dec 15. PMID: 41401741.
Clinical Risk Factors in Haemostasis: Evaluating VTE and Bleeding through Epidemiological and NLP-based methods – Ph.d. afhandling af Anne Bryde Alnor
Self-Administered Bleeding Assessment Tool Scores in Individuals With Verified Bleeding Disorders. Hansen RS, Hoffmann M, Vinholt PJ, Funding E. Eur J Haematol. 2025 Oct 30. doi: 10.1111/ejh.70056. Epub ahead of print. PMID: 41168098.
Dora explores Clinically Relevant Information in EHRs using NER. Laursen, M., Pedersen, L. E., Adelhelm, J. B. H., Lynggaard, R. B., & Vinholt, P. J. In Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP-2025) 2025. pp. 258-270)
Natural language processing for identifying major bleeding risk in hospitalised medical patients. Alnor AB, Lynggaard RB, Laursen MS, Vinholt PJ. Comput Biol Med. 2025
Early clinical implementation and evaluation of an NLP-Based AI system for thrombophilia assessment using electronic health records. Alnor, A. B., Adelhelm, J. B. H., Pedersen, L. E., Faurø, K. K., Laursen, M. S., Lynggaard, R. B., & Vinholt, P. J. International Journal of Medical Informatics 2025: 106135
Vinholt, P. & Laursen, M. S. AI-sprogmodeller gør det nemmere at læse journalen: fra en time til 85 sekunder. In Kunstig intelligens i sundhed: Eksempler på danske AI-løsninger. Pihl, A., Dargahi, A. & Savarimuthu, T. R. (editors). Copenhagen: FADL’s Forlag, 2025, s. 136-150
Natural language processing for identifying major bleeding risk in hospitalised medical patients. Alnor AB, Lynggaard RB, Laursen MS, Vinholt PJ. Comput Biol Med. 2025
Identification of hematuria with a natural language processing model and validation of hematuria diagnosecodes. Hansen RS, Lynggaard RB, Laursen MS, Lykke FM, Vinholt PJ. Thromb Res. 2024 Oct 12;244:109182. doi: 10.1016/j.thromres.2024.109182. PMID: 39426095
Validity of Major Osteoporotic Fracture Diagnoses in the Danish National Patient Registry. Clausen A , Möller S , Skjødt MK , Lynggaard RB , Vinholt PJ , Lindberg-Larsen M , Søndergaard J , Abrahamsen B , Rubin KH. Clin Epidemiol . 2024 Apr 13:16:257-266. doi: 10.2147/CLEP.S444447.
Cumulative rib fracture risk after stereotactic body radiotherapy in patients with localized non-small cell lung cancer. Kristian Kirkelund Bentsen, Carsten Brink, Tine Bjørn Nielsen, Rasmus Bank Lynggaard, Pernille Just Vinholt, Tine Schytte, Olfred Hansen, Stefan Starup Jeppesen. Radiother Oncol 2024 17:110481. doi: 10.1016/j.radonc.2024.110481.
Validation of Anorexia Nervosa and Bulimia Nervosa Diagnosis Coding in Danish Hospitals Assisted by a Natural Language Processing model. Egedal, J. M., Støving, R. K., Lynggaard, R. B., Laursen, M. S., Vinholt, P. J., & Hansen, R. S. (2024). Journal of Psychiatric Research.
Mining Electronic Health Records: Turning Unstructured Text into Research Data Using Natural Language Processing – Ph.d. afhandling af Martin Sundahl Laursen
Unlocking the Potential of Electronic Health Records With Danish Clinical Language Models for Text Mining – Ph.d.afhandling af Jannik Skyttegaard Pedersen
Doctors identify hemorrhage better during chart review when assisted by artificial intelligence. Martin S. Laursen , Jannik S. Pedersen, Rasmus S. Hansen, Thiusius R. Savarimuthu and Pernille J. Vinholt. Clinical Applied Informatics (accepted)
Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text. Martin S. Laursen , Jannik S. Pedersen, Pernille J. Vinholt and Thiusius Rajeeth Savarimuthu. WNLPe-Health 2022
Danish Clinical Named Entity Recognition and Relation Extraction. Martin S. Laursen, Jannik S. Pedersen, Rasmus S H.ansen, Thiusius R. Savarimuthu, Pernille J. Vinholt. Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), 2023.
MeDa-BERT: A medical Danish pretrained transformer model. Jannik S. Pedersen, Martin S. Laursen, Pernille J. Vinholt, Thiusius R. Savarimuthu. Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), 2023.
Investigating anatomical bias in clinical machine learning algorithms. Jannik S. Pedersen, Martin S. Laursen, Pernille J. Vinholt, Anne Alnor, Thiusius R. Savarimuthu. Findings of the Association for Computational Linguistics: EACL 2023, 1368-1380.
Benchmark for Evaluation of Danish Clinical Word Embeddings. Martin S Laursen, Jannik S. Pedersen, Pernille J. Vinholt, Rasmus S. Hansen, Thiusius R. Savarimuthu. Northern European Journal of Language Technology 2023/3/1.
Domain over size: Clinical ELECTRA surpasses general BERT for bleeding site classification in the free text of electronic health records. Jannik S. Pedersen, Martin S. Laursen, Cristina S. Ruiz, Thiusius R. Savarimuthu, Rasmus S. Hansen, Pernille J. Vinholt. IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022.
Factors Facilitating the Acceptance of Diagnostic Robots in Healthcare: A Survey. Martin S. Laursen, Jannik S. Pedersen, Søren A. Just, Thiusius R. Savarimuthu, Brian Blomholt, Jakob KH Andersen, and Pernille J. Vinholt. In 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), pp. 442-448. IEEE, 2022.
Deep learning detects and visualizes bleeding events in electronic health records. Jannik S. Pedersen, Martin S. Laursen, Thiusius R. Savarimuthu, Rasmus S. Hansen, Anne Alnor, Bjerre KV, Kjær IM, Gils C, Thorsen AF, Andersen ES, Nielsen CB, Andersen LC, Just SA, Vinholt PJ. Res Pract Thromb Haemost. 2021 May 5;5(4):e12505. doi: 10.1002/rth2.12505.
Translation, validation, and usability of the International Society on Thrombosis and Haemostasis Bleeding Assessment Tool (Self-ISTH-BAT). Hansen RS, Carlsen M, Rasmussen KF, Vinholt PJ. Eur J Haematol. 2021 Jul;107(1):104-110. doi: 10.1111/ejh.13625.
Prevalence of Bleeding Symptoms in Denmark Using the Patient-administered Bleeding Assessment Tool (self-BAT). Hansen RS, Vinholt PJ. Haemophilia. 2023 Mar;29(2):564-571. doi: 10.1111/hae.14728.
Computerized clinical decision support tool for diagnosing porphyria – improving efficiency in a specialized laboratory. Hansen RS, Ejdesgaard BA, Madsen KSB, Fruekilde PBN, Vinholt PJ. Scand J Clin Lab Invest. 2022;82(2):167-169. doi: 10.1080/00365513.2022.2034937.