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Neuroinformatics
Oct, 2024;22 (4): 403-405.

Neuroinformatics Applications of Data Science and Artificial Intelligence.

Ivo D Dinov
Author Information
  1. Ivo D Dinov: University of Michigan, Ann Arbor, MI, USA. statistics@umich.edu.
PMID: 39316274 DOI: 10.1007/s12021-024-09692-4

Abstract

Leveraging vast neuroimaging and electrophysiological datasets, AI algorithms are uncovering patterns that offer unprecedented insights into brain structure and function. Neuroinformatics, the fusion of neuroscience and AI, is advancing technologies like brain-computer interfaces, AI-driven cognitive enhancement, and personalized neuromodulation for treating neurological disorders. These developments hold potential to improve cognitive functions, restore motor abilities, and create human-machine collaborative systems. Looking ahead, the convergence of neuroscience and AI is set to transform cognitive modeling, decision-making, and mental health interventions. This fusion mirrors the quest for nuclear fusion energy, both driven by the need to unlock profound sources of understanding. As STEM disciplines continue to drive core developments of foundational models of the brain, neuroinformatics promises to lead innovations in augmented intelligence, personalized healthcare, and effective decision-making systems.

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MeSH Term

Humans
Artificial Intelligence
Data Science
Neurosciences
Brain-Computer Interfaces
Brain
Journal Article Review Editorial

Word Cloud

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