2023-08-02 18:42:00
AI revolutionizes radiology with enhanced tumor detection capabilities
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AI supports radiologists in detecting tumors
In recent years, the workload for radiologists has significantly increased, with physicians having an average of only 2.1 seconds to analyze an image. Faced with time constraints, critical abnormalities on the periphery of focus are prone to be overlooked. However, Floy’s artificial intelligence (AI) is playing a pivotal role in addressing this challenge. By highlighting these abnormalities, Floy’s AI ensures that radiologists can detect potential tumors and prevent diagnostic errors. According to Benedikt Schneider, the Founder and CEO of Floy, radiologists equipped with AI are more reliable than those without AI.
This is how the AI works
Floy’s AI employs machine learning algorithms to identify and mark abnormalities in radiological studies. By learning from millions of data sets and radiological experiences, Floy’s AI significantly reduces the risk of missing tumors or other important abnormalities. Prof. Dr. Thomas Henzler, a prominent figure in the field of radiology and the Chief Medical Officer of RH – Diagnostics and Therapy, emphasizes the AI’s impact, stating that even experienced radiologists may miss certain lesions that Floy’s AI skillfully identifies. He further adds that Floy has been successfully supporting their diagnostic quality for over a year, enabling sustainable optimization in their practice.
Currently, approximately 100 medical practices across Germany are utilizing Floy’s AI system. The additional private service comes with a cost of around 47 euros, allowing medical professionals to harness the advanced capabilities of AI in their diagnostic processes.
With the integration of AI in radiology, the medical community is witnessing a groundbreaking transformation that enhances the accuracy and efficiency of tumor detection. The collaboration between human radiologists and AI technology is proving to be a game-changer, revolutionizing patient care and diagnostic outcomes.
As the demand for radiological services continues to grow, AI emerges as a powerful tool in supporting healthcare professionals and ensuring timely and accurate diagnoses. The success and wide adoption of Floy’s AI system across Germany’s medical practices serve as a testament to its effectiveness in augmenting radiologists’ capabilities and ultimately improving patient care.
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