医療情報学における人工知能の運用定義に向けて:デルファイ調査
Carolyn Sun1, Shakib Hossain2, Shannon L Harris3
1Hunter-Bellevue School of Nursing, Hunter College, New York, NY 10010, United States.
Abstract:
The proliferation of Artificial Intelligence (AI) technologies, fueled by advancements in computational power and generative models, is rapidly reshaping healthcare delivery and research. However, the absence of a standardized definition of AI impedes regulatory development, confounds public discourse, and hinders clinical adoption. This study provides clarity for AI developers and users in terminology surrounding the topic, which will ultimately assist in mitigating risks to patients and the public. Utilizing a multiphase Delphi method involving international informatics experts, we synthesized existing definitions and facilitated consensus on an operational definition of AI tailored to healthcare contexts. Our findings aim to establish a foundational framework to guide ethical governance, promote funding alignment, and optimize AI integration in clinical settings.
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