Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...

The release of the open-source AI models marks the next step in the Mountain View-based tech giant's push in the healthcare ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

Abstract: Automated systems for skin cancer detection (ASCD) powered by Artificial Intelligence (AI) and Deep Learning (DL) have become critical tools in improving diagnostic accuracy, offering a ...