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Artificial intelligence in neuro-oncology.
Nakhate, Vihang; Gonzalez Castro, L Nicolas.
Afiliação
  • Nakhate V; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Gonzalez Castro LN; Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Front Neurosci ; 17: 1217629, 2023.
Article em En | MEDLINE | ID: mdl-38161802
ABSTRACT
Artificial intelligence (AI) describes the application of computer algorithms to the solution of problems that have traditionally required human intelligence. Although formal work in AI has been slowly advancing for almost 70 years, developments in the last decade, and particularly in the last year, have led to an explosion of AI applications in multiple fields. Neuro-oncology has not escaped this trend. Given the expected integration of AI-based methods to neuro-oncology practice over the coming years, we set to provide an overview of existing technologies as they are applied to the neuropathology and neuroradiology of brain tumors. We highlight current benefits and limitations of these technologies and offer recommendations on how to appraise novel AI-tools as they undergo consideration for integration into clinical workflows.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Front Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Front Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos