Cars from companies like Tesla already promise hands-free driving, but recent crashes show that today's self-driving systems can still struggle in risky, fast-changing situations.

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

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 ...

The National Institute for Research and Treatment (NICRAT) has strengthened the capacity of health workers in the South-West geopolitical zone of Nigeria through training on the application of ...

A team of researchers has announced a major advancement in the automated detection of brain tumours, unveiling a hybrid artificial intelligence system that dramatically enhances the accuracy of ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

America’s cancer research system, which has helped save millions of lives, is under threat in one of its most productive moments. Credit... Supported by By Jonathan Mahler Rachael Sirianni first ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Abstract: This study examines the effectiveness of deep learning approaches in detecting brain tumors. Early diagnosis of brain tumors is critical for improving patients’ quality of life and ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Abstract: One crucial medical imaging task that has a big influence on patient outcomes is the detection of brain tumors. In order to increase treatment success rates and patient survival, an accurate ...