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ABSTRACT: Background
As artificial intelligence (AI) evolves, its roles have expanded from helping out with routine tasks to making complex decisions, once the exclusive domain of human experts. This shift is pronounced in health care, where AI aids in tasks ranging from image recognition in radiology to personalized treatment plans, demonstrating the potential to, at times, surpass human accuracy and efficiency. Despite AI's accuracy in some critical tasks, the adoption of AI in health care is a challenge, in part because of skepticism about being able to rely on AI decisions.Objective
This study aimed to identify and delve into more effective and acceptable ways of integrating AI into a broader spectrum of health care tasks.Methods
We included 2 qualitative phases to explor
SUBMITTER: Tahtali MA
PROVIDER: S-EPMC11890136 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature