A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates ...
New research has uncovered persistent disparities in preventive cancer care across different sexual orientation and gender ...
Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
Real-world genomic profiling of endometrial cancer in south India to identify clinically actionable alterations. Development and validation of a prognostic model to independently predict cervical ...
Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...
Researchers have developed an AI-powered optical biopsy that scans the uterus in under 3 seconds, offering a faster, safer way to detect endometrial cancer early.
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