Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study

@article{Pumplun2021AdoptionOM,
  title={Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study},
  author={Luisa Pumplun and Mariska Fecho and Nihal Wahl and F. Peters and Peter Buxmann},
  journal={Journal of Medical Internet Research},
  year={2021},
  volume={23}
}
Background Recently, machine learning (ML) has been transforming our daily lives by enabling intelligent voice assistants, personalized support for purchase decisions, and efficient credit card fraud detection. In addition to its everyday applications, ML holds the potential to improve medicine as well, especially with regard to diagnostics in clinics. In a world characterized by population growth, demographic change, and the global COVID-19 pandemic, ML systems offer the opportunity to make… 

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