Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends

Our findings highlight the increasing role of AI in early detection and risk prediction of NCDs, emphasising its widening research impact and future clinical potential.

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Publication Details

Journal
BMJ Open
Published
2025-05-01
DOI
https://doi.org/10.1136/bmjopen-2025-101169
Citations
7
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
4.58
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article

Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends

Waleed M. Sweileh, Arwa M. Al-Dekah
7 citations
BMJ Open
Artificial Intelligence in Healthcare and Education
4.58
article

Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends

Waleed M. Sweileh, Arwa M. Al-Dekah
article en
7 citations

Abstract

Our findings highlight the increasing role of AI in early detection and risk prediction of NCDs, emphasising its widening research impact and future clinical potential.

BMJ OpenVol. 15(5)
Jordan University of Science and Technology (JO), An-Najah National University (PS)
Openalex Percentile: Top 5%
Artificial Intelligence in Healthcare and Education
4.58
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