AI in Health Care Service Quality: Systematic Review

The review underscores that AI technologies have significantly improved diagnostic accuracy, patient management, and operational efficiency in Saudi Arabia's health care system. However, challenges such as data privacy, algorithmic bias, and robust regulations require attention to ensure successful AI integration in health care.

Authors

Najla M Aljehani (ORCID: https://orcid.org/0000-0003-0890-0698)
Eman Alghareeb (ORCID: https://orcid.org/0009-0004-6150-0348)

Institutions

Saudi Electronic University (SA)

Publication Details

Journal: JMIR AI
Published: 2025-09-26
DOI: https://doi.org/10.2196/69209
Citations: 1
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.65

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article

AI in Health Care Service Quality: Systematic Review

Najla M Aljehani, Eman Alghareeb

Sep 26, 2025

1 citations

JMIR AI

Artificial Intelligence in Healthcare and Education

0.65

article

AI in Health Care Service Quality: Systematic Review

Najla M Aljehani, Eman Alghareeb

September 26, 2025article en

1 citations

Abstract

JMIR AIVol. 4

Saudi Electronic University (SA)

Openalex Percentile: Top 20%

Artificial Intelligence in Healthcare and Education

0.65

DOI Open Access PDF OpenAlex

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AI in Health Care Service Quality: Systematic Review — Najla M Aljehani, Eman Alghareeb · JMIR AI (2025) | TGRS Research Map | TGRS