False Positives in Artificial Intelligence Prioritization Software for Intracranial Hemorrhage Identification in the Postoperative Period: A Report of Two Cases

The implementation of artificial intelligence (AI) in radiology has shown significant promise in the identification of acute intracranial hemorrhages (ICHs). However, it is crucial to recognize that AI systems may produce false-positive results, especially in the postoperative period. Here, we prese...

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Detalles Bibliográficos
Autores principales: Cardoso, Osmay, Adly, Marco, Hamade, Mohamad, Saigal, Khushi, Saigal, Gaurav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460624/
https://www.ncbi.nlm.nih.gov/pubmed/37641727
http://dx.doi.org/10.7759/cureus.44215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460624/
https://www.ncbi.nlm.nih.gov/pubmed/37641727
http://dx.doi.org/10.7759/cureus.44215

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