Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...
Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...
AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...
University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...
Breast cancer is the second most common cancer among women worldwide. Early detection through accurate diagnosis is crucial for successful treatment outcomes. This project leverages machine learning ...
India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled ...
Metagenomics uncovers the full cast of microbes living in environments from soil to the human gut. New methods help ...
Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical need for accurate and early diagnosis. Convolutional Neural Networks (CNNs) have ...
Abstract: Accurate segmentation of kidney ultrasound (KUS) images is essential for various diagnostic procedures. However, challenges such as variability in image quality and the need for real-time ...
This project leverages artificial intelligence to address ethical and privacy concerns in healthcare by generating synthetic brain cancer images. The goal is to create a synthetic dataset that closely ...
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