Dasaraiahgari, Vamsikrishna (2025) Synergistic Intelligence: The convergence of human expertise and AI capabilities in modern healthcare settings. World Journal of Advanced Research and Reviews, 26 (2). pp. 2766-2775. ISSN 2581-9615
![WJARR-2025-1910.pdf [thumbnail of WJARR-2025-1910.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
WJARR-2025-1910.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
Abstract
This article explores the synergistic relationship between human expertise and artificial intelligence in modern healthcare settings. It examines the theoretical foundations of human-AI collaboration, highlighting the complementary strengths each brings to clinical practice. The article delves into successful applications in diagnostic medicine, where AI systems assist clinicians in analyzing complex medical imaging and patient data, significantly improving accuracy and efficiency. It further shows the evolution of AI-assisted surgical applications, from robotic platforms to real-time decision support systems. The article addresses implementation challenges, including technical integration barriers, workforce adaptation requirements, regulatory considerations, and cost-benefit analyses. Despite these obstacles, evidence suggests that collaborative human-AI approaches consistently outperform either working independently. The article concludes by identifying future research directions and offering recommendations for healthcare stakeholders to effectively integrate these transformative technologies while maintaining the irreplaceable value of human clinical judgment.
Item Type: | Article |
---|---|
Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.1910 |
Uncontrolled Keywords: | Human-AI Collaboration; Healthcare Innovation; Diagnostic Medicine; AI-Assisted Surgery; Medical Education |
Depositing User: | Editor WJARR |
Date Deposited: | 20 Aug 2025 11:20 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3271 |