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This paper aims to explore physicians' adoption of Machine learning models in the healthcare process and barriers that may hinder it. A review of the literature about ML in healthcare… Click to show full abstract
This paper aims to explore physicians' adoption of Machine learning models in the healthcare process and barriers that may hinder it. A review of the literature about ML in healthcare included current and potentially beneficial clinical applications and clinicians' adoption and trust towards such applications. While some physicians are looking forward to using ML to improve their outcomes and reduce their load, we uncovered fear of unwanted outcomes and concerns about privacy of data, legal liability, and patient dissatisfaction.
Keywords:
acceptance machine;
physician acceptance;
machine;
machine learning;
learning diagnostic;
diagnostic purposes
Journal Title: Studies in health technology and informatics
Year Published: 2022
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Journal Title: Studies in health technology and informatics
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!