Published Paper Details:

The use of Artificial Intelligence (AI) in the healthcare industry has been increasing at a very rapid pace in the last few years. In India, there has been a growing interest in the adoption of AI tools and techniques in hospitals to improve patient care and outcomes. This paper presents a literature review on the adoption of AI tools and techniques in Indian hospitals from 2013 to 2023. The review uses bibliometric analysis to identify the trends, patterns, and gaps in the existing research. The Scopus database was used to search for the relevant articles. The findings specify that there has been a noteworthy surge in the amount of publications on AI in Indian hospitals over the past decade, with the majority of the research focusing on the development and application of AI tools and techniques in specific areas of healthcare, such as diagnosis, treatment, and monitoring. However, the adoption of AI in Indian hospitals is still in its early stages, with many challenges and barriers to overcome, such as regulatory issues, data privacy and security concerns, and limited funding and resources. The paper concludes with an argument of the suggestions of the findings for future research and practice in this area. The results of the analysis indicate a growing interest in AI in Indian hospitals, with an increasing number of publications on the topic in recent years. The most commonly researched areas include medical imaging, diagnostic decision-making, and predictive analytics. However, there is still a need for further research to investigate the potential influence of AI on patient outcomes and healthcare costs. Overall, this review highlights the necessity for continued investigation in this area to fully realize the potential of AI in Indian healthcare system..