# Artificial Intelligence Adoption in Orthopedics: A Multicenter International Survey From Germany and Greece

## TL;DR

This survey explores how artificial intelligence is being used in orthopedics across Germany and Greece, highlighting differences in adoption and challenges like training and data security.

## Contribution

The study provides new insights into AI adoption in orthopedics through a multicenter international survey, revealing regional differences and barriers.

## Key findings

- German university hospitals reported more frequent AI use compared to Greek institutions.
- Barriers in Greece included insufficient training and data security concerns.
- Common barriers across both regions included data privacy and integration into existing systems.

## Abstract

Integrating artificial intelligence (AI) into healthcare systems is rapidly transforming medical practice, particularly in diagnostics, personalized treatment, and clinical workflow optimization. This multicenter international survey investigates the adoption, current usage, and perceived benefits of AI technologies within healthcare systems. A total of 28 participants responded, including 13 from German university hospitals, six from Greek university hospitals, and nine general healthcare providers in Greece. Respondents from German university hospitals reported more frequent use of AI, whereas insufficient training and concerns about data security were more prominent barriers in Greece. Previous studies highlight the growing role of AI in enhancing diagnostic accuracy through machine learning algorithms, supporting decision-making in treatment plans, and automating administrative tasks to alleviate clinician workload. Despite its promising potential, the survey identifies several barriers, including concerns about data privacy and security, the integration of AI into existing infrastructure, and the need for regulatory frameworks.