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AI applied to radiology is already increasing diagnostic accuracy and speeding up interpretation times for studies in thousands of health institutions. However, its implementation must be strategic to ensure its effectiveness and safety in clinical practice.
Automation and diagnostic accuracy with AI
AI in radiology makes it possible to eliminate repetitive tasks such as the analysis of simple radiographs and the writing of radiology reports, reducing the workload of specialists and minimizing errors. Eden has artificial intelligence tools throughout its RIS/PACS system, including Eden Creator, generative AI that today saves radiologists up to 1 hour of work per day and speeds up the delivery of results by up to 30%.
Integration with PACS systems and workflow
For Artificial Intelligence to be truly effective in your institution, it is necessary to consider its integration into your workflows. Currently, the most common use of AI in radiology involves the use of separate tools, each at an additional cost, that work as a complement to the institution's DICOM viewers. This means that radiologists have to go from one program to another, reducing productivity and, above all, extending delivery times for results that can be critical.
At Eden, we eliminate those problems with frictionless AI integrations and at no additional cost, directly into Eden PACS. This allows immediate access to tools such as Eden Creator, which generates diagnostic conclusions for radiology reports. In addition, radiologists can use functions such as voice dictation or their automatically updated worklist with just one click.
Ethical and safety considerations
Although AI provides great benefits, its implementation must consider ethical and security aspects. The protection of medical data is essential, so it is essential to ensure compliance with cybersecurity regulations, such as ISO 27001 in the case of Eden.
Another critical aspect is that AI must act as a support tool for radiologists, without replacing human supervision in the interpretation of studies. However, by choosing the right tools such as Eden Creator, which allows editing and correction by the radiologist at every step, it is possible to guarantee diagnostic accuracy with minimal risk of medical error.
Conclusion
Artificial intelligence is transforming diagnostic imaging, allowing greater precision and efficiency in radiology. But to unlock their true potential, it's essential to have compatible tools that integrate with the radiologist's workflow rather than becoming an obstacle to productivity.
The true value of AI is to elevate medical work: get tools that ensure a precise and quality experience, without friction, for your radiologists and references. Request your demonstration of Eden PACS today.
