Exploring the Bidirectional Relationship Between Artificial Intelligence and Neuroscience
Proceedings of a Workshop
Mitwirkender: Norris, Sheena M Posey; Ford, Celia; Childers, Eva
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Since artificial intelligence's (AI) inception, AI and neuroscience have influenced each other to advance models of neural circuitry, analyze large and complex datasets, and inform the development of AI algorithms. This bidirectional relationship also has implications for health care as researchers and clinicians begin to explore the role of AI in clinical diagnosis, disease monitoring, and predicting treatment outcomes of central nervous system disorders. The National Academies Forum on Neuroscience and Nervous System Disorders hosted a public workshop in March 2024 to explore safe, responsib...
Since artificial intelligence's (AI) inception, AI and neuroscience have influenced each other to advance models of neural circuitry, analyze large and complex datasets, and inform the development of AI algorithms. This bidirectional relationship also has implications for health care as researchers and clinicians begin to explore the role of AI in clinical diagnosis, disease monitoring, and predicting treatment outcomes of central nervous system disorders. The National Academies Forum on Neuroscience and Nervous System Disorders hosted a public workshop in March 2024 to explore safe, responsible, and equitable use of AI in neuroscience and identify collaborative strategies for increasing AI literacy, building public trust, and creating accessible user interfaces.
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