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

ABSTRACT:

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 diagnostics more effective and efficient, leading to a high interest of clinics in such systems. However, despite the high potential of ML, only a few ML systems have been deployed in clinics yet, as their adoption process differs significantly from the integration of prior health information t

SUBMITTER: Pumplun L 

PROVIDER: S-EPMC8556641 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature