Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow.

I "The greatest opportunity offered by AI is not reducing errors or workloads, or even curing cancer: it is the opportunity to restore the precious and time-honored connection and trust" i I Eric Topol, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again i Artificial Intellige...

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Publicado en:European Radiology Vol. 31; no. 1; pp. 5 - 8
Autores principales: Kotter, Elmar, Ranschaert, Erik
Formato: Journal Article
Publicado: Springer Nature 2021
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow.
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          Kotter, Elmar
          Ranschaert, Erik
        affil: Department of Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetterstr. 55, D-79106, Freiburg, Germany
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          Specialties, Medical
          Artificial Intelligence
          Systems Analysis
          Scales
      ab: I "The greatest opportunity offered by AI is not reducing errors or workloads, or even curing cancer: it is the opportunity to restore the precious and time-honored connection and trust" i I Eric Topol, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again i Artificial Intelligence (AI) is ubiquitous today, and radiology is at the forefront of AI applications in medicine. While still many radiologists fear that this new technology threatens their profession, the younger generation seems to be aware that AI is a revolution for the profession that will improve radiology, and opposes the idea that human radiologists will be replaced.
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