Articlediamond2025

Bibliometric exploration of artificial intelligence applications in healthcare: trends and future directions

5 citations0/0 files storedJournal of Public Health and Development

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

scientometrics and bibliometrics research Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare

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.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 5 citations exist upstream.

References

2021How to conduct a bibliometric analysis: An overview and guidelines 2020In AI we trust? Perceptions about automated decision-making by artificial intelligence 2022To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis 2021Artificial Intelligence Regulation: a framework for governance 2021The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers 2020How does artificial intelligence enable and enhance value co-creation in industrial markets? An exploratory case study in the healthcare ecosystem 2021Next-generation business models for artificial intelligence start-ups in the healthcare industry 2021Benefits of, Barriers to, and Needs for an Artificial Intelligence–Powered Medication Information Voice Chatbot for Older Adults: Interview Study With Geriatrics Experts

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.