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An ensemble machine learning model based on magnetic resonance imaging features for diagnosing deep infiltrating endometriosis.

To address the need for more objective and reproducible preoperative diagnosis of deep infiltrating endometriosis (DIE), this study aimed to develop and validate a weighted ensemble machine learning (ML) model …

Published: May 29, 2026, midnight
Revolutionizing endometriosis treatment: automated surgical operation through artificial intelligence and robotic vision.

Clinical limitations due to poverty significantly impact the lives and health of many individuals globally. Nevertheless, this challenge can be addressed with modern technologies, particularly through robotics and artificial intelligence. …

Published: Oct. 26, 2024, midnight
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