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Artificial Intelligence for Individualized Radiological Dialogue: The Impact of RadioBot on Precision-Driven Medical Practices
0
Zitationen
9
Autoren
2025
Jahr
Abstract
RadioBot demonstrates strong potential in improving radiological communication and supporting clinical workflows, especially with patients where it plays an important role in personalized medicine by framing radiology data within each individual's cognitive and emotional context, which improves understanding and reduces associated diagnostic anxiety. Despite limitations such as occasional contextual incoherence and limited multimodal capabilities, the system effectively disseminates radiological knowledge. Future developments should focus on enhancing personalization based on user specialization and exploring alternative platforms to optimize performance and user experience.
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