The survey identified significant challenges for physicians in reconciling AI-generated ECG recommendations with clinical judgment across specialties.
What are the challenges faced by physicians when introducing an AI application for ECG interpretation across medical specialties?
An institutional survey highlights the challenges of integrating AI-based ECG diagnostics into routine clinical practice across various medical specialties.
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Artificial intelligence (AI) is transforming the medical landscape, offering unprecedented advancements in diagnostic precision, treatment planning, and decision-making across various specialties. However, its adoption also raises complex questions, particularly when AI-generated recommendations conflict with human expertise. This article explores through an institutional survey the challenges faced by physicians when introducing a unique AI application for the interpretation of the ECG across several medical specialties.
Ungureanu et al. (Wed,) reported a other. The survey identified significant challenges for physicians in reconciling AI-generated ECG recommendations with clinical judgment across specialties.
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