The Emerging Role of Multimodal Artificial Intelligence in Urological Surgery
Artificial intelligence (AI) is transforming urological oncology surgery. While earlier systems were mainly limited to analyzing image data, modern multimodal models can combine various sources of information, such as imaging, laboratory values, robotic data and clinical documentation. This allows for more precise diagnostics, surgical planning and follow-up care. Generative AI can also enhance communication between physicians and patients, as well as support surgical training by providing realistic simulations and personalized feedback. However, there are risks associated with incomplete or distorted training data, data protection issues and unclear responsibilities in AI-supported decision-making. A better understanding of the opportunities and limitations of multimodal and generative AI is crucial to ensure its safe, ethical and clinically meaningful use in urological practice.
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