# Perception and awareness of healthcare professionals toward the applications of artificial intelligence in Egyptian healthcare settings

**Authors:** Shimaa Azzam, El-Morsy Ahmed El-Morsy, Amira S. A. Said, Nermin Eissa, Doaa Mahmoud Khalil

PMC · DOI: 10.3389/frai.2025.1700493 · Frontiers in Artificial Intelligence · 2026-01-12

## TL;DR

This study explores how Egyptian healthcare professionals perceive and use artificial intelligence, finding that younger and male professionals are more engaged with AI tools.

## Contribution

The study identifies demographic factors influencing AI engagement among Egyptian healthcare professionals.

## Key findings

- Most healthcare professionals have sub-optimal knowledge and negative attitudes toward AI.
- Younger age and male gender are significantly associated with better AI perception and practice.
- Training is needed for older and female professionals to improve AI adoption.

## Abstract

Healthcare professionals’ awareness and handling of artificial intelligence applications in healthcare enhance patient outcomes and improve processes. This study aimed to evaluate the perception, attitude, knowledge, and practice of healthcare professionals regarding the application of artificial intelligence in Egyptian healthcare settings.

A cross-sectional study in which 367 healthcare professionals responded to an electronic questionnaire.

Out of 367 participants (234 female), radiology and lab test specialty (36.2%) was the predominant. The mean age was 27.03 years; 51.8% of respondents showed positive perception, 68.7% experienced sub-optimal knowledge, 52.9% expressed negative attitudes, and 53.4% demonstrated a low practice level of AI tools. Younger age was significantly associated with positive perception (adjusted odds ratio (AOR) = 0.905, p = 0.020) and higher AI practice (AOR = 0.907, p = 0.026). University hospital professionals had 61.4% lower odds of optimal knowledge than private hospital professionals (AOR = 0.386, p = 0.046). Men had higher odds of both positive attitudes (AOR = 1.844, p = 0.010) and high practice level (AOR = 2.92, p < 0.001). Pre-bachelor’s holders had lower odds of positive attitudes (AOR = 0.361, p = 0.036), as well as physicians compared to nurses and others (AOR = 0.424, p = 0.005). Bachelor’s holders showed lower odds of high AI practice (AOR = 0.388, p = 0.017).

Despite moderate perception, most professionals have knowledge, attitude, and practice defects. Mainly, younger age and men showed higher engagement, indicating a need for targeted AI training, especially for older and female professionals.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC12833234/full.md

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Source: https://tomesphere.com/paper/PMC12833234