AI-guided outreach increased cancer screenings and reduced mortality, new study finds

A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates ...
IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

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 ...
IEEE

Deep Learning for Video Anomaly Detection: A Review

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 ...
ascopubs.org

Prediction model for recurrence and metastasis of cervical cancer after surgery using machine learning.

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 ...
Frontiers

Applications of machine learning algorithms to detect digital addiction: a meta-analysis

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 ...
Medical Xpress

How a simple blood test could help detect heart damage during breast cancer treatment

Modern breast cancer screening and treatment have transformed survival. Many women now live long and healthy lives after diagnosis, thanks to increasingly effective chemotherapy and targeted therapies ...