How AI is Reshaping Medical Imagery with MIT CSAIL Professor Polina Golland

In this episode

AI is transforming radiology, but not at the expense of skilled technicians. In the same way that personal computers and spreadsheets didn’t eliminate accountants, AI is not going to replace radiologists but will instead transform the way they work.

MIT CSAIL Professor Polina Golland’s research sits at the intersection of machine learning and healthcare, specifically medical imaging. In this episode, she discusses her team’s groundbreaking work on algorithms that analyze subtle patterns in x-rays, helping detect diseases earlier and understand them more deeply.
Hear Professor Golland’s thoughts on healthcare, AI, and the future of diagnostics in this exciting glimpse into how AI impacts medicine, both now and going forward.

About the speakers

Polina Golland

Professor, MIT EECS

Polina Golland received her BSc and Masters in Computer Science from Technion, Israel in 1993 and 1995, and a PhD in Electrical Engineering and Computer Science from MIT in 2001. Then in 2003, Golland joined MIT as a professor in the EECS Department and a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Golland’s current research focuses on developing statistical analysis methods for characterization of biological processes based on image information. Some of her awards include: a Faculty Research Innovation Fellowship (2015), Electrical and Computer Engineering Department Heads Association Diversity Award (2014), Medical Image Computing and Computer Assisted Intervention Society: Young Investigator Award (2007,2010,2011).

Industry Impact
The goal is to build computational models of anatomical and functional variability from medical images and develop methods for making predictions for new subjects based on images and prior information. We collaborate extensively with practicing clinicians, clinical researchers and neuroscientists to apply these methods in surgical planning and navigation, population studies and basic neuroscience.

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Learn more about Polina

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