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VOL. 10, ISSUE 4 (2025)
Impact of artificial intelligence on healthcare decision-making-a bibliometric analysis
Authors
Farhat Naaz, Mariya Fatima, Mohammed Junaid Ahmed, Akram Pasha, Pratibha Jha, Durga Rani, Mohd Arif Hussain
Abstract
Researchers examine the integration of artificial intelligence (AI)
into healthcare decision-making through this systematic literature review, with
a focus on AI-based diagnostic tools' effects on professionals and patient
outcomes. We draw on a PRISMA-guided synthesis of 10 core studies from
2021–2025, complemented by bibliometric analysis of 685 records from
Dimensions.ai, to trace AI's evolution from early diagnostic aids to strategic
imperatives in clinical practice. Findings highlight AI tools' roles in
enhancing accuracy, reducing diagnostic errors by up to 30%, and improving
patient outcomes through personalized care. Key results reveal exponential
publication growth (397 in 2025 alone), dominance of health sciences (47% of
outputs), and influential themes such as machine learning in diagnostics (92%
accuracy in imaging). We underscore regional disparities in adoption (e.g., 93%
in Europe vs. 79% in North America) and AI's potential for equitable implementation,
though gaps in ethical integration and accessibility persist. For healthcare,
implications include 15–25% improvements in decision speed and cost reductions,
positioning AI as a bridge between clinical efficiency and patient-centered
care. This study offers practitioners and scholars a roadmap, as We advocate
hybrid AI-human models to advance global healthcare resilience.
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Pages:115-121
How to cite this article:
Farhat Naaz, Mariya Fatima, Mohammed Junaid Ahmed, Akram Pasha, Pratibha Jha, Durga Rani, Mohd Arif Hussain "Impact of artificial intelligence on healthcare decision-making-a bibliometric analysis". International Journal of Advanced Scientific Research, Vol 10, Issue 4, 2025, Pages 115-121
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