In 1969, Jack and Laura Dangermond launched Esri with a bold idea: geographic tools could help people understand – and ...

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 ...

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

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

After radiation therapy, certain cancer patients face a lingering question: Is a troubling lesion a return of the cancer, or ...

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 ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...