Zooming in on AI-Based Image Interpretation

Martin Lindner
Published on January 10, 2019
AI is key for an image interpretation technology also seen in breast cancer imaging.

Leveraging AI for imaging workflows and reading

Proposed diffusion-weighted, high-b-value imaging for noncontrast breast cancer imaging.

Courtesy of R. Mann, Radboud Nijmegen, The Netherlands

Image-data based phenotyping of disease

The data-based approach to image interpretation called radiomics enables recognition of imaging signatures.

Predicting cancer recurrence

Comprehensive, multiparametric breast MRI in a 39-year-old female with cancer of the left breast

Courtesy of AZ Sint-Maarten, Belgium

By Martin Lindner

Martin Lindneris is an award-winning science writer based in Berlin, Germany. After completing his medical studies and a doctoral thesis in the history of medicine, he went into journalism. His articles have appeared in many major German and Swiss newspapers and magazines.