To monitor the clinical use of commercially available AI software in radiology departments in the Netherlands over a 3-year period, assessing the added value, discontinuance, financing methods, and obstacles to AI implementation, including specific challenges faced by practitioners.
Key Findings:
Desire to adopt AI in radiology increased from 63% in 2020 to 88% in 2022, indicating a growing interest.
Clinical use of AI products grew from 20% of departments in 2020 to 33% in 2022, reflecting increased adoption.
The number of unique AI products implemented increased from 7 in 2020 to 34 in 2022, showcasing diversity in AI applications.
28% of respondents reported health improvement from AI, while 32% believed in both health improvement and cost savings, though these perceptions are subjective.
Interpretation:
While the adoption of AI in radiology is increasing, the perceived value and actual benefits remain subjective and unclear for many practitioners, indicating a need for more objective assessments.
Limitations:
The study relied on self-reported data, which may introduce bias and affect the reliability of the findings.
The definition of AI products was limited to those listed on a specific website, potentially excluding other relevant products that could provide a broader understanding.
Conclusion:
The study highlights a growing interest and implementation of AI in radiology in the Netherlands, but significant obstacles remain, particularly financial and integration challenges, which need to be addressed for further progress.
