Researchers are studying a machine learning-powered warning system for breast cancer. It works by detecting subtle changes in a mammogram that humans can't spot, but could soon become cancer.

Artificial intelligence is making its mark on the future of cancer care. One of the newest applications for the technology is pinpointing hard-to-detect breast cancer. Researchers at Ohio State ...

The U.S. Food and Drug Administration (FDA) has approved the first artificial intelligence (AI) tool to predict breast cancer risk. The authorization was confirmed by digital health tech company ...

In a major breakthrough, a team of researchers from The City College of New York and Memorial Sloan Kettering Cancer Center (MSKCC) has developed a new AI model that can detect breast cancer in MRI ...

Many conversations about artificial intelligence feel dark and scary. The renowned Dr. Elisa Port has another perspective.

Advances in artificial intelligence (AI) are revolutionizing cancer detection and care. Researchers now report that AI tools can identify breast cancer up to five years before clinical diagnosis, ...

The United Kingdom is embarking on one of its most ambitious healthcare initiatives as artificial intelligence prepares to revolutionize breast cancer screening. The £11 million Early Detection using ...

A new study shows that AI can spot hidden signs in mammograms years before breast cancer develops, offering hope for tailored screening and earlier, life-saving action. Study: Artificial Intelligence ...

Mikael Eriksson, PhD, epidemiologist at Karolinska Institute in Sweden, discusses the development and implementation of an artificial intelligence (AI) model to reduce bias and improve breast cancer ...

Forbes contributors publish independent expert analyses and insights. Juergen Eckhardt leads Bayer’s impact investment unit, Leaps by Bayer. Over the next 12 months, tens of thousands of women across ...

Researchers explore how AI-driven tumor-infiltrating lymphocyte (TIL) assessments outperform manual methods in precision but stress the need for robust datasets to ensure reliability in clinical ...

According to a study published in the European Journal of Cancer, the fairness and equity of datasets for AI-driven mammogram interpretation might be jeopardized by the underrepresentation of racial ...