AI as a Copilot in Healthcare: Enhancing, Not Replacing, Clinical Decision-Making

作者：Rohit Upadhyay · 发表于：Journal of Computer Science and Technology Studies · 年份：2025 · DOI：10.32996/jcsts.2025.7.8.2 · 被引用次数：5 · 研究领域：Artificial Intelligence in Healthcare and Education

The integration of artificial intelligence into healthcare represents a transformative paradigm shift, reimagining the relationship between technology and medical professionals. This article examines the emergence of AI as a clinical collaborator rather than a replacement for human expertise, focusing on systems designed for relevance assessment, information ranking, and efficient retrieval of patient data. Modern healthcare AI implementation shows significant improvements in regular clinical functions, reducing clinical errors in special domains such as radiology and pathology. These systems excel in giving priority to information according to clinical urgency, separating the signal from noise in expanding versions of health care, and enabling rapid access to the relevant data from electronic health records. The article examines the three major structures for human-AI collaboration: the Consultant model, AI as special advisors, monitoring models that employ the continuous monitoring of patient data, and enhancing the model by integrating direct capabilities in clinical workflows. Emergency medical, radiology, primary care, and intensive care settings depict both case study transformational capacity and implementation challenges. Healthcare has adapted commercial AI technologies to the clinical environment by implementing stronger data governance, improving uncertainty quantification, and developing specialized validation frameworks. Evidence shows these adaptations enhance c...