A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...

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

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

The procedure is based around dynamic optical contrast microscopy (DOCI), a technique in development at UCLA since 2016. It ...

Abdus Sobur receives a 2025 Global Recognition Award for developing artificial intelligence models that support earlier ...

Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types Flatiron Health today announced that the novel findings ...