Martin S. Laursen
Odense, Denmark
Last Updated: 09/26/2026
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Found 10 publications
Beyond ICD-10: Natural Language Processing Identifies Catheter-Associated Thrombosis in Hospitalised Children.
Journal: Pediatric blood & cancer
Published: June 16, 2026
Differences in bleeding outcome capture between electronic health record review using natural language processing and ICD-10 coding in hospitalised children.
Journal: Pediatric research
Published: August 11, 2025
Early clinical implementation and evaluation of an NLP-Based AI system for thrombophilia assessment using electronic health records.
Journal: International journal of medical informatics
Published: August 05, 2025
Extracting intraoperative blood loss from unstructured clinical narratives.
Journal: Journal of clinical anesthesia
Published: June 26, 2025
Natural language processing for identifying major bleeding risk in hospitalised medical patients.
Journal: Computers in biology and medicine
Published: September 04, 2024
Validation of anorexia nervosa and Bulimia nervosa diagnosis coding in Danish hospitals assisted by a natural language processing model.
Journal: Journal of psychiatric research
Published: February 06, 2024
Doctors Identify Hemorrhage Better during Chart Review when Assisted by Artificial Intelligence.
Journal: Applied clinical informatics
Published: July 03, 2023
Deep learning detects and visualizes bleeding events in electronic health records.
Journal: Research and practice in thrombosis and haemostasis
Published: January 25, 2021
Neural networks for automatic scoring of arthritis disease activity on ultrasound images.
Journal: RMD open
Published: December 28, 2018
Showing 1-10 of 10
Last Updated: 09/26/2026