Annika Reynberg Langkilde

Annika Reynberg Langkilde serves as a Clinical Associate Professor in the Department of Clinical Medicine, Radiology at the University of Copenhagen's Faculty of Health and Medical Sciences. Her academic appointment is associated with Rigshospitalet (Copenhagen University Hospital), as indicated by her regionh.dk email address and clinical focus. She maintains an active research profile with 53 documented research outputs including journal articles, reviews, conference abstracts, and a Ph.D. thesis.

Dr. Langkilde's research interests center on neurology with particular emphasis on multiple sclerosis, medical imaging applications, pediatric neurological disorders, and stroke diagnostics. Her work demonstrates strong interdisciplinary collaboration across neurology, radiology, and immunology fields. She has made significant contributions to understanding MRI criteria for differentiating pediatric multiple sclerosis from similar conditions and has explored applications of artificial intelligence in neuroimaging.

Analysis of her recent publications reveals a consistent focus on improving diagnostic criteria and methodologies in neurology, particularly for multiple sclerosis and related neuroinflammatory conditions. Her work spans clinical research, imaging technology evaluation, and biomarker discovery, with increasing attention to AI applications in medical imaging assessment. Several of her publications represent nationwide cohort studies indicating substantial collaborative research efforts across Denmark.

Her research has garnered attention across academic platforms with multiple publications picked up by news outlets and widely read on academic networks like Mendeley, with one paper reaching 52 readers on the platform. While specific awards aren't documented in the provided information, her publication record demonstrates recognition within the neurology and medical imaging communities.

Dr. Langkilde maintains active collaborations with researchers across multiple institutions, as evidenced by her extensive co-authorship network. Her work appears in reputable journals across neurology, radiology, and clinical neuroscience fields, indicating strong professional connections within these academic communities.