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Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
Hirschmann, Anna; Cyriac, Joshy; Stieltjes, Bram; Kober, Tobias; Richiardi, Jonas; Omoumi, Patrick.
Afiliação
  • Hirschmann A; Department of Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
  • Cyriac J; Department of Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
  • Stieltjes B; Department of Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
  • Kober T; Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
  • Richiardi J; Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.
  • Omoumi P; LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Semin Musculoskelet Radiol ; 23(3): 304-311, 2019 Jun.
Article em En | MEDLINE | ID: mdl-31163504
ABSTRACT
Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a brief technical background on AI, machine learning, and deep learning, we illustrate, through examples from the musculoskeletal literature, potential AI applications in the various steps of the radiologist's workflow, from managing the request to communication of results. The implementation of AI solutions does not go without challenges and limitations. These are also discussed, as well as the trends and perspectives.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Doenças Musculoesqueléticas Limite: Humans Idioma: En Revista: Semin Musculoskelet Radiol Assunto da revista: FISIOLOGIA / ORTOPEDIA / RADIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Doenças Musculoesqueléticas Limite: Humans Idioma: En Revista: Semin Musculoskelet Radiol Assunto da revista: FISIOLOGIA / ORTOPEDIA / RADIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suíça