Artificial intelligence could reshape research and care in disorders of consciousness

27 Jun 20264 min read0 viewsJournal Feed

GIST (Key Takeaways)

The diagnosis and management of disorders of consciousness (DoC) currently relies on complex multimodal assessments by experienced multidisciplinary teams, which are often unavailable in non-specialist care settings. Artificial-intelligence-based approaches could aid DoC prognostication and care in such settings, as well as yielding new mechanistic and therapeutic insights into DoC. Estraneo, A., Trojano, L. & Hammond, F. M. in Coma and Disorders of Consciousness (eds Schnakers, C. & Laureys, S.) 59–76 (Springer, 2023). Kondziella, D. et al.
European Academy of Neurology guideline on the diagnosis of coma and other disorders of consciousness. Eur. J. Neurol. 27 , 741–756 (2020). Claassen, J. et al. Detection of brain activation in unresponsive patients with acute brain injury. N.
Engl. J. Med. 380 , 2497–2505 (2019). Magliacano, A. et al. Predicting long-term recovery of consciousness in prolonged disorders of consciousness based on Coma Recovery Scale-Revised subscores: validation of a machine learning-based prognostic index. Brain Sci. 13 , 51 (2022).
Olchanyi, M. D. et al. Automated MRI segmentation of brainstem nuclei critical to consciousness. Hum. Brain Mapp. 46 , e70357 (2025). Amiri, M. et al.