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Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study
50
Zitationen
5
Autoren
2021
Jahr
Abstract
Many clinics still face major problems in adopting ML systems for medical diagnostics; thus, they do not benefit from the potential of these systems. Therefore, both the ML adoption framework and the maturity model for ML systems in clinics can not only guide future research that seeks to explore the promises and challenges associated with ML systems in a medical setting but also be a practical reference point for clinicians.
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