Uncovering the power of synergy: a hybrid human–machine model for maximizing AI properties and human expertise

Furthermore, large language models like ChatGPT are helpful for manuscript preparation and editing [4]. Besides the mentioned advantages, it should be added that AI-based tools can aid in identifying potential retractions, inconsistencies, or errors in published articles, alerting publishers and researchers to any concerns, and facilitating the timely correction or retraction of flawed papers [5]. The expertise, contextual understanding, and nuanced judgment of human editors and reviewers bring a depth of knowledge that cannot be replicated by AI. [...]we emphasize that relying on AI for certain editorial evaluations, such as assessing the paper's originality and its clinical implications, is inconceivable. Adopting a holistic perspective, the ideal model should combine the strengths of both biological and silicon-based intelligence, allowing them to complement each other rather than being interchangeable. [...]should our efforts be directed toward creating AIs that mimic HI, or should we concentrate on integrating AI capabilities to overcome the limitations of HI?