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Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology
8
Zitationen
11
Autoren
2024
Jahr
Abstract
AI/ML publications have been rapidly increasing in neuroradiology with only a minority of this growth being attributable to end-user application. Areas identified for improvement include enhancing the quality of type 2 articles, namely external validation, and addressing both bias and explainability. These results ultimately provide authors, editors, clinicians, and policymakers important insights to promote a shift toward integrating practical AI/ML solutions in neuroradiology.
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