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Beyond the Hype: Mapping the Evolution of Artificial Intelligence in General Surgery Through Two Decades of Bibliometrics
2
Zitationen
4
Autoren
2025
Jahr
Abstract
AI in general surgery has seen a period of exponential growth, moving from exploratory discourse to applied research. While research is concentrated among a few authors and journals, its thematic diversity suggests a nascent, fragmented field without a dominant intellectual core. Future work should prioritize prospective validation, data-sharing infrastructures, and ethical frameworks to ensure responsible clinical translation. We propose an ethical-educational-technological (EET) framework to guide the responsible integration of AI into surgical practice and training.
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