Authors
Lu Tang, Jinxu Li, Sophia Fantus
Publication date
2023
Journal
Digital Health
Volume
9
Description
Background
Artificial intelligence (AI) technologies are transforming medicine and healthcare. Scholars and practitioners have debated the philosophical, ethical, legal, and regulatory implications of medical AI, and empirical research on stakeholders’ knowledge, attitude, and practices has started to emerge. This study is a systematic review of published empirical studies of medical AI ethics with the goal of mapping the main approaches, findings, and limitations of scholarship to inform future practice considerations.
Methods
We searched seven databases for published peer-reviewed empirical studies on medical AI ethics and evaluated them in terms of types of technologies studied, geographic locations, stakeholders involved, research methods used, ethical principles studied, and major findings.
Findings
Thirty-six studies were included (published 2013-2022). They typically belonged to one of the three topics …
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