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

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Artificial intelligence in internal medicine: knowledge, clinical use and training needs.

J García Alegría¹, C García Tortosa², M D Martín Escalante³

¹Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Marbella, Málaga; IBIMA Plataforma BIONAND, Marbella, Málaga, Spain.

Revista Clinica Espanola

|December 24, 2025

Summary

Spanish internists report basic AI knowledge, with younger doctors more informed. While AI use is common in clinical practice, a lack of training hinders adoption, despite high demand for AI education and integration into internal medicine.

Keywords:

Actitudes y práctica en salud Artificial intelligence Attitudes and practices Conocimientos Cross-sectional study Diffusion of innovations Difusión de innovaciones Digital health Educación médica Estudio transversal Health knowledge Inteligencia artificial Internal medicine Medical education Medicina interna Salud digital

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Area of Science:

Medical Informatics
Artificial Intelligence in Medicine
Healthcare Technology Adoption

Background:

Artificial intelligence (AI) is rapidly transforming medical practice.
Understanding internists' perspectives on AI is crucial for effective integration.

Purpose of the Study:

To assess self-perceived knowledge, experience, usage, and training needs of AI among Spanish internists.
To inform the development of targeted educational activities for AI in internal medicine.

Main Methods:

A cross-sectional study utilizing an anonymous online survey.
Included demographic, categorical, multiple-choice, and qualitative questions.
Sample size aimed for 368, with 504 valid responses analyzed.

Main Results:

Most internists possess basic or intermediate AI knowledge, with higher levels in younger age groups.
AI is frequently used in clinical practice, research, and teaching.
Key barriers include lack of training, reliability concerns, ethical issues, and technological limitations.

Conclusions:

Spanish internists show varied AI knowledge, with younger physicians more proficient.
Despite barriers like insufficient training, there's a strong demand for AI education and high willingness to adopt AI tools.
Developing targeted training programs is essential for integrating AI into internal medicine.