Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Carol Davila University of Medicine and Pharmacy · Clinical Emergency Hospital Bucharest · +1 more institution
Abstract
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms-ranging from deep learning to neuromorphic computing-are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain-computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments. Beyond applications, neuroscience itself has inspired AI innovations, with…
Citation impact
- FWCI
- 94.62
- Percentile
- 100%
- References
- 309
Authors
8- RORăzvan Onciul
Carol Davila University of Medicine and Pharmacy, Clinical Emergency Hospital Bucharest
- CTCătălina-Ioana TătaruCorresponding
Carol Davila University of Medicine and Pharmacy, Clinical Emergency Hospital Bucharest
- ADAdrian DumitruCorresponding
Carol Davila University of Medicine and Pharmacy, Clinical Emergency Hospital Bucharest
- CCCarla Crivoi
University of Bucharest
- MȘMatei Șerban
Carol Davila University of Medicine and Pharmacy
Topics & keywords
- Transformative learning
- Neuroinformatics
- Neuroimaging
- Neuroscience
- Neuromorphic engineering
- Computer science
- Deep learning
- Cognitive neuroscience
- Partnerships for the goals