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AI-Augmented Advances in the Diagnostic Approaches to Endometrial Cancer
2
Zitationen
7
Autoren
2025
Jahr
Abstract
AI-driven diagnostic tools have shown high performance in detecting and characterizing EC across multiple modalities, often matching or exceeding expert-level accuracy. These technologies hold promise for earlier detection, better risk assessment, and more personalized treatment planning. However, further research and validation are needed to address current limitations and support their broader integration into clinical workflows.
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