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Impact of Artificial Intelligence on Women's Imaging: Cost-Benefit Analysis.
Mayo, Ray C; Leung, Jessica W T.
Afiliação
  • Mayo RC; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1350, Houston, TX 77030-4009.
  • Leung JWT; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1350, Houston, TX 77030-4009.
AJR Am J Roentgenol ; 212(5): 1172-1173, 2019 May.
Article em En | MEDLINE | ID: mdl-30779657
ABSTRACT
OBJECTIVE. The purpose of this article is to identify and discuss four areas in which artificial intelligence (AI) must excel to become clinically viable performance, time, work flow, and cost. CONCLUSION. AI holds tremendous potential for transforming the practice of radiology, but certain metrics are needed to objectively quantify its impact. As patients, physicians, hospitals, and insurance companies look for value, AI must earn a role in medical imaging.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: AJR Am J Roentgenol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: AJR Am J Roentgenol Ano de publicação: 2019 Tipo de documento: Article