Clinical eHealth · 2024
“AI et al.” The perils of overreliance on Artificial Intelligence by authors in scientific research
Juan S. Izquierdo‐Condoy, Jorge Vásconez-González, Esteban Ortiz‐Prado
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AChecked 30 Sept 2026. Non-commercial or no-derivatives license: full text kept internally; only metadata and abstract are indexed and used.
| Source | License | Open-access status | Read as |
|---|---|---|---|
| openalex | cc-by-nc-nd | gold | Yellow |
| crossref | http://creativecommons.org/licenses/by-nc-nd/4.0/ | — | Yellow |
| unpaywall | cc-by-nc-nd | gold | Yellow |
Abstract
BThe rapid integration of Artificial Intelligence (AI) into scientific research and publication processes marks a significant shift in knowledge generation. This transition from traditional literature searches to AI-driven algorithms has accelerated tasks such as writing, editing, and summarizing scientific manuscripts. While AI holds promise for improving efficiency and accuracy, concerns have arisen about its potential misuse and the erosion of scientific integrity.
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