Bibliometric exploration of artificial intelligence applications in healthcare: trends and future directions
Journal Title: Journal of Public Health and Development - Year 2025, Vol 23, Issue 2
Abstract
This research employs the PRISMA framework to conduct an extensive bibliometric analysis, delving into the dynamic realm of Artificial Intelligence (AI) within the healthcare domain. Spanning the years 2010 to 2023, the study systematically gathers and examines scholarly works to delineate the trends, patterns, and emerging topics about AI's integration into healthcare. A thorough initial screening yields substantial academic articles, conference papers, and reviews, forming the basis for analysis. The examination primarily focuses on quantifying publication patterns, identifying influential authors, institutions, and countries, and mapping the thematic landscape of AI in healthcare. Employing various bibliometric metrics such as publication trends, prolific authors, influential journals, and co-occurrence networks of keywords, the study uncovers the remarkable surge in research centred on AI-driven healthcare. This surge signifies a notable paradigm shift towards harnessing technology for predictive analytics, personalized medicine, and enhanced patient care. Additionally, by leveraging visualization tools like VOSviewer, the study presents informative graphical representations elucidating clusters and associations among keywords, thereby providing deeper insights into the interdisciplinary dimensions of AI in healthcare. This study provides a structured overview of the evolving landscape of AI in healthcare, providing valuable perspectives for researchers, practitioners, and policymakers aiming to harness the potential of AI for advancing healthcare delivery and outcomes. The implications of these findings underscore the transformative potential of AI technologies in revolutionizing healthcare delivery, promoting sustainable healthcare practices, and fostering innovative solutions for future challenges.
Authors and Affiliations
Animesh Sharma, Rahul Sharma
Keywords
Related Articles
- EP ID EP765332
- DOI 10.55131/jphd/2025/230220
- Views 16
- Downloads 0
Factors associated with children's dietary patterns during COVID-19 pandemic lockdown: a multinational study across Middle Eastern Arab Nations
This study aims to investigate the impact of the COVID-19 pandemic on Middle Eastern Arab children’s eating habits, body weight, lifestyle, physical activity, sleeping hours, use of smart electronic devices, and mental...
Risk factors for postnatal depression among recently delivered young women in Rural Karnataka, South India
Postnatal depression (PND) is a global public health issue that is associated with devastating and persistent outcomes in mothers and children. In India, PND affects one-in-five first-time mothers. Research on PND amo...
Factors Affecting Oral Health Service Utilization of Differently-abled School Children in Kathmandu, Nepa
Lack of oral health care utilization is a common problem among differently- abled children. As a result, oral diseases are often identified in this cohort. This study applied the Anderson health care utilization model to...
The combination between praziquantel treatment and fatty liver disease in relation to diabetes mellitus in Northeast of Thailand
Diabetes mellitus (DM) is a growing global public health concern, including Thailand. Prior research has established an association between fatty liver disease (FLD) and DM. Moreover, the distribution of DM was also foun...
Factors influencing the consumption of Jiaogulan herbal tea in Phayao Province, Northern Thailand
Tea is a popular beverage that has experienced increased consumption due to its health benefits and cultural significance. This study aimed to examine Jiaogulan herbal tea consumption and its association with information...