EPIC-AI (epic-ai.org) Enhancing Prognostication and Improving reliability of EEG assessments in Coma after Cardiac Arrest with Artificial Intelligence
The VIKING project The world’s largest database for clinical neurophysiological studies. And a study of the trust to AI decision support systems among patients and health care professionals External homepage: https://viking-project.org/
The ENTRAPME project – Improved diagnostics for nerve entrapments using machine learning
The DIGMINE project - Digital gold mining in historical neurophysiological data for more precise diagnostics
NEUDAG (part of the DIGMINE+ research group) Implementing new methods for neurophysiological diagnostics by using and implementing historical data to create reference limits and validate these against the most commonly encountered diseases
EBION Advancing Translation of Electrophysiology Biomarkers for Muscle Changes in Neuropathic Disorders [EBION]
PETRA Multicenter randomized controlled study (PETRA-NMD) evaluating personalized exercise-based treatment for people with rare neuromuscular disorders, assessing effects on clinical outcomes and exploratory biomarkers.
Identifying Novel Imaging biomarkers in epileptogenesis post traumatic brain injury Studying the glymphatic system and its abnormalities as potential predictor for epilepsi after traumatic brain injury by using an advanced machine learning MRI post processing tool.
NOR-CACTUS Clinical project, in collaboration with Diakonhjemmet, evaluating a stepwise treatment strategy for mild to moderate idiopathic carpal tunnel syndrome (CTS), using ultrasound-guided corticosteroid injection, scheduled assessment, and surgery if needed, compared to primary surgical treatment, aiming to achieve non-inferior long-term outcomes while reducing adverse events and overall surgical interventions.
Arora T, Almokdad M, Sorensen DM, Abrahao A, Alaamel A, Alaydin HC, Ballegaard M, Boran E, Cengiz B, Dunker O, Graffe CC, Kallio MA, Krarup C, Kroigard T, Liguori R, Lupescu TD, Maitland S, Matamala JM, Moldovan M, Moreno-Roco J, Themistocleous AC, Uysal H, Vacchiano V, Whittaker RG, Zinman L, Tankisi H, Nilsen KB, Jones KE(2026) Reliability and Agreement of CMAP Scan-Derived MUNE Algorithms in Healthy Individuals IEEE Trans Biomed Eng, PP(in press) DOI 10.1109/TBME.2026.3728251, PubMed 42658694
Dauvilliers Y, Mignot E, Antczak J, Arnulf I, Barateau L, Buntinx E, Corser B, Iranzo A, Khatami R, Lammers GJ, Lederer K, Nilsen KB, Pizza F, Schmidt MH, Sivam S, Sum-Ping O, Taniguchi M, Zhan S, Abraham A, Cai A, Du Y, Etherton MR, Faessel H, Hsiao S, Kadali H, Koundourakis E, Naylor M, Neuwirth R, Olsson T, Rogers Ret al.(2026) Oveporexton for Narcolepsy Type 1 - Results from Two Phase 3 Trials N Engl J Med, 395(12), 1166-1179 DOI 10.1056/NEJMoa2601598, PubMed 42714024
Dunker Ø, Bergsjø LO, Severinsen GH, Glette H, Nilsen KB(2026) Is accuracy enough? trust and barriers to AI-based clinical decision support in clinical neurophysiology Clin Neurophysiol Pract, 11, 262-270 DOI 10.1016/j.cnp.2026.04.003, PubMed 42006914