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Updated: Mar 29, 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 applied to care (I): Origin and general concepts.

Reyes Grangel¹, María Victoria Ibáñez Gual², Amelia Simó Vidal²

¹Grupo de Investigación en Aprendizaje Automático para Entornos Inteligentes. Departamento de Lenguajes y Sistemas Informáticos, Universitat Jaume I, Castellón de la Plana, Spain.

Enfermeria Clinica

|March 27, 2026

Summary

Artificial Intelligence (AI) offers valuable tools for healthcare, including predictive techniques for nursing care. Understanding these AI methods is crucial for building trust and improving patient outcomes.

Keywords:

Algorithms Algoritmos Artificial Intelligence Decision making Enfermería Inteligencia Artificial Nursing Toma de decisiones

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Last Updated: Mar 29, 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 Informatics
Artificial Intelligence Applications
Nursing Science

Background:

The rise of Artificial Intelligence (AI), particularly Generative AI like ChatGPT, has increased its presence in professional settings.
AI encompasses a broad range of techniques beyond generative models, including those vital for data analysis and decision support in healthcare.
Ensuring transparency and explainability in AI predictive models is essential for healthcare professionals to trust and adopt these technologies.

Purpose of the Study:

To provide a comprehensive overview of predictive Artificial Intelligence techniques applicable to the nursing care process.
To illustrate these techniques with practical healthcare examples for better understanding by nursing professionals.
To discuss the limitations and future prospects of AI in nursing care.

Main Methods:

Exploration of data-centric AI methods: Machine Learning, Deep Neural Networks, and Generative Artificial Intelligence.
Description of process-centric AI techniques: Predictive Process Monitoring.
Inclusion of practical healthcare-based examples for each technique.

Main Results:

Summary of key predictive AI techniques relevant to nursing care.
Demonstration of how Machine Learning, Deep Neural Networks, Generative AI, and Predictive Process Monitoring can be applied in healthcare settings.
Identification of the advantages and disadvantages of these AI approaches.

Conclusions:

Predictive AI techniques offer significant potential to enhance the nursing care process.
Increased understanding and transparency of AI methods are vital for their successful integration into clinical practice.
Further research and development are needed to address the limitations and fully realize the prospects of AI in nursing.