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AI impact on doctors-patients relationship: A review

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  • AI Impact On Doctors-patients Relationship: A Review
  • AI impact on doctors-patients relationship: A review

Eikhlas nasreldin osman ali 1 and Tagwa kalool fadlalla ahmad 2, *

1 Department of Medicine, Elrazi University, Khartoum, Sudan.
2 Department of Medicine. Ahfad University for Women, Omdurman, Sudan.
 
Research Article
GSC Advanced Research and Reviews, 2025, 23(03), 124-127.
Article DOI: 10.30574/gscarr.2025.23.3.0132
DOI url: https://doi.org/10.30574/gscarr.2025.23.3.0132
Received on 01 April 2025; revised on 11 May 2025; accepted on 14 May 2025
 
The integration of Artificial Intelligence (AI) into healthcare systems is rapidly transforming the dynamics of the doctor-patient relationship. This review examines the multifaceted impact of AI technologies—such as clinical decision support systems, diagnostic tools, and virtual health assistants—on communication, trust, empathy, and decision-making processes between physicians and patients. While AI offers enhanced diagnostic accuracy, efficiency, and accessibility, it also raises concerns regarding depersonalization, reduced face-to-face interaction, and potential erosion of patient trust. This paper synthesizes current literature to explore both the positive and negative implications of AI, highlighting ethical considerations, the need for human oversight, and strategies for maintaining a compassionate, patient-centered care model in an increasingly digitized clinical environment. The review concludes by proposing a balanced framework that integrates AI capabilities while preserving the core human elements of the doctor-patient relationship.
AI; Artificial intelligant in medicine; Patient- doctor relationship; AI role in patient-doctor relationship
 
https://gscarr.gsconlinepress.com/sites/default/files/fulltext_pdf/GSCARR-2025-…

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Eikhlas nasreldin osman ali and Tagwa kalool fadlalla ahmad. AI impact on doctors-patients relationship: A review. GSC Advanced Research and Reviews, 2025, 23(3), 124-127. Article DOI: https://doi.org/10.30574/gscarr.2025.23.3.0132

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