Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Exploring Patient Attitude on Adoption of Artificial Intelligence in Diabetes Care

Authors: Abdullahi, Usman; Bunu, Abubakar Sadiq;

Exploring Patient Attitude on Adoption of Artificial Intelligence in Diabetes Care

Abstract

The adoption of Artificial intelligence (AI) into diabetic care has a potential to improve patient management especially inNigeria, where diabetes poses a serious health challenge. The effectiveness of AI in patient management significantly dependson patient attitude. The paper addresses the gap in understanding the attitude of diabetic patients toward AI. The aim is tostudy the perspective of patient on the use of AI technologies and applications in managing diabetes. This study examines thepatterns of acceptance and understanding of AI among diabetic patients. Qualitative data using interview with diabetic patientat diabetic clinic of Federal Teaching Hospital Gombe, was collected. Thematic analysis was performed in accordance withestablished standard for data analysis. The data revealed three central themes related to their attitudes toward the use ofartificial intelligence in managing diabetes which are perceived acceptability, recognized advantages of AI tools, and theperceived necessity for such technologies. Most participants shared favorable opinions about incorporating AI into diabetescare. These results provide a foundation for developing a theoretical model to better understand how patients view AI in thiscontext, highlighting the influence of their health experiences, technological familiarity, and social factors.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!