AI and neuroscience promote each other in development. From a historical perspective, the development of AI has been inspired by neuroscience, and modern AI technologies are continuously driving the progress of neuroscience.
Neuroscience remains a determining contributor to the evolution of AI. The way neuroscientists investigate the information processing of the brain has allowed for proper groundwork development in the making of AI algorithms. On the other hand, AI not only offers a powerful tool for the neuroscience field by automatically analyzing large complex structures and extracting patterns buried within the data, but it also avails understanding of brain mechanisms and their complex interrelationships.
This review we cite here discusses the relationship between AI and neuroscience, highlighting the convergence of AI and neuroscience in the detection and prediction of various neurological disorders.
The use of artificial intelligence has opened up new possibilities in neuroscience. Data management is believed to be an area of benefit for AI applications in neuroscience. Given that neuroscience is concerned with a lot of volumetric and high-dimensional data such as brain imaging data or electrophysiological signals, AI technology can be used to handle these complicated datasets.
AI has also contributed significantly in the field of simulation in neuroscience research as it has enabled scientists to ascertain computational processes in the brain through building neural network models, most notably deep learning models.
The AI in this paper in detail presents the application of AI that is relatively new in the prediction and diagnosis of various related diseases which encompass tumors, epilepsy, developmental disorders, degenerative diseases, headaches, infection, and so on. AI is used for tumor detection and seizure prediction, advanced detection of developmental disorders and neurodegenerative diseases, headache categorization and stroke prediction with greater reliability than other traditional methods.
Although the convergence of AI and neuroscience sets the stage for realizing intelligent applications capable of predicting and diagnosing neurological disorders, the implementation of such applications faces several challenges, which also point to future research directions. These challenges include:
In summary, the contribution of AI to neuroscience is both interdisciplinary and mutually beneficial. The incorporation of the most advanced computing technology and clinical practice gives hope that AI will achieve even more success in the diagnosis and treatment of diseases of the nervous system in the near future.
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Original Article:
Surianarayanan C.; et al. (2023). Convergence of artificial intelligence and neuroscience towards the diagnosis of neurological disorders-a scoping review. Sensors. 2023, 23(6): 3062.
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