A Systematic Review of Artificial Intelligence Applications in Healthcare: Challenges, Opportunities, and Future Directions

Artificial Intelligence (AI) has rapidly transformed multiple sectors, with healthcare emerging as one of the most impactful domains. This paper presents a systematic review of AI applications in healthcare, focusing on their practical implementations, associated challenges, and future potential. By analyzing recent literature, the study identifies key areas where AI has demonstrated significant value, including diagnostics, predictive analytics, and clinical decision support. Despite its advantages, the adoption of AI faces barriers such as data privacy concerns, ethical considerations, and integration challenges. The paper concludes with insights into future research directions and emphasizes the need for balanced implementation strategies.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-29
DOI
https://doi.org/10.5281/zenodo.19305172
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

A Systematic Review of Artificial Intelligence Applications in Healthcare: Challenges, Opportunities, and Future Directions

Turki alsuwyaigh
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

A Systematic Review of Artificial Intelligence Applications in Healthcare: Challenges, Opportunities, and Future Directions

Turki alsuwyaigh
article en

Abstract

Artificial Intelligence (AI) has rapidly transformed multiple sectors, with healthcare emerging as one of the most impactful domains. This paper presents a systematic review of AI applications in healthcare, focusing on their practical implementations, associated challenges, and future potential. By analyzing recent literature, the study identifies key areas where AI has demonstrated significant value, including diagnostics, predictive analytics, and clinical decision support. Despite its advantages, the adoption of AI faces barriers such as data privacy concerns, ethical considerations, and integration challenges. The paper concludes with insights into future research directions and emphasizes the need for balanced implementation strategies.

Zenodo (CERN European Organization for Nuclear Research)
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Artificial Intelligence in Healthcare and Education
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