Speaker: Anne Torill Nordsletta, Norwegian Centre for E-health Research
Date: 12.06.2025, 10:00 am
Title: Clinical Large Language Models in Healthcare – Applications, Challenges, and Opportunities
Abstract:
This presentation examines the development and application of Norwegian Clinical Large Language Models (LLMs) in healthcare. It explores how models like NorDeClin-BERT and NorBERT are reshaping key tasks such as clinical coding, adverse drug event detection, and the deidentification of clinical texts.
Significant challenges remain, including limited annotated data, privacy concerns, and algorithmic bias. At the same time, emerging trends like multimodal AI, federated learning, and synthetic data generation are shaping the future of the field.
With a focus on the continuous development of specialized Norwegian models and collaborative, ethically responsible approaches, this presentation highlights efforts to drive innovation, enhance healthcare delivery, and uphold patient safety and data privacy.
Anne Torill Nordsletta
Anne Torill Nordsletta is the Department Leader for Innovation and Advising at the Norwegian Centre for E-health Research. She played a key role in establishing the Centre’s Department for AI and Health Analytics and was a co-founder of the national AI in Norwegian Healthcare Service Network (KIN). Anne Torill was also one of the primus motors behind the Norwegian Research Council’s AI billion-application AI Democratization for Human Development (HAIDe). With extensive experience across both public and private sectors, she brings deep national and international expertise in digital health, innovation, and strategic development. Anne Torill is passionate about advancing responsible AI in healthcare and fostering collaboration across sectors to drive meaningful impact.
