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Updated: Jan 18, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Artificial Intelligence in Nursing: Toward a Global Perspective.

Khalida Mohammed Khudur¹, Maryam Mokhtari Seghaleh², Alaa Jawad Kadhim³

¹Professor, Department of Adult Nursing, College of Nursing, University of Baghdad, Baghdad, Iraq.

Nursing Science Quarterly

|September 9, 2025

Summary

Artificial intelligence (AI) in nursing offers benefits like reduced errors and improved patient care. However, global adoption faces significant challenges and concerns that require careful consideration for effective implementation.

Keywords:

artificial intelligence global nursing

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Last Updated: Jan 18, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Healthcare technology
Nursing informatics
Sociotechnical systems

Background:

Artificial intelligence (AI) is increasingly integrated into nursing and healthcare globally.
AI presents opportunities to enhance efficiency, reduce errors, and improve patient outcomes.
The integration of AI in healthcare also introduces unique challenges and concerns.

Purpose of the Study:

To examine the expanding use of AI in nursing and healthcare from a global perspective.
To analyze the sociotechnical factors influencing AI adoption in nursing.
To identify and discuss the limitations and challenges associated with AI in global nursing practice.

Main Methods:

Sociotechnical model application.
Literature review of select references.
Global perspective analysis.

Main Results:

AI can significantly reduce errors and improve healthcare quality and efficiency.
AI has the potential to increase patient support, healthcare access, and overall patient care.
Numerous limitations and challenges exist for AI implementation in nursing worldwide.

Conclusions:

The successful integration of AI in nursing requires addressing its associated challenges.
A global perspective is crucial for understanding and navigating AI's impact on nursing.
Further research and strategic planning are needed to optimize AI's benefits while mitigating risks in nursing.