A new review article in the peer-reviewed journal AI in Neuroscience identifies major themes in the application of artificial intelligence (AI) to the clinical, translational and basic neurosciences. Click here to read the article now .
Esther Yuh, MD, PhD , Editor-in-Chief of AI Neuroscience , from the University of California at San Francisco, and coauthors, used citation patterns to construct networks of peer-reviewed research papers and review articles that included elements of both AI and neuroscience.
The investigators identified several trends in publications at the nexus of AI and neuroscience in the past decade, including a more than 5-fold increase in AI-related publications in neuroscience. In clinical neurology, AI-related publications surged more than 13-fold in the past decade. “As AI tools become more widely available, we expect this trend to accelerate in coming years,” stated the investigators.
About the Journal
AI in Neuroscience is a multidisciplinary peer-reviewed research journal that focuses on applications of artificial intelligence (AI) in neuroscience. Broad in scope, the journal aims to publish high-quality peer-reviewed content in all areas of neuroscience, including clinical, cognitive and behavioral, computational, systems, and molecular and cellular neuroscience.
About Mary Ann Liebert, Inc., a Sage Company
Mary Ann Liebert, Inc. is a global media company dedicated to publishing and delivering impactful peer-reviewed research in biotechnology & life sciences, specialized clinical medicine, public health and policy, and technology & engineering. Since its founding in 1980, the company has focused on providing critical insights and content that empower researchers and clinicians worldwide to drive innovation and discovery.
AI in Neuroscience
Data/statistical analysis
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Bird’s Eye View of Artificial Intelligence in Neuroscience
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