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March 15, 2022

A Turing Test for Chest Radiology AI | Tanveer Syeda-Mahmood | IBM | WiDS 2022

About This Video

Tanveer Syeda-Mahmood, IBM Fellow, IBM Research Center, presents at Technical Vision Talk at the WiDS Worldwide conference.

Chest radiographs are the most common imaging exams in hospitals and clinics, comprising 60% of x-rays in the US. They are also one of the hardest to interpret due to their low resolution in reflecting 2D projections of 3D volumes, and cognitive biases leading to interpretation errors. AI assistance with automated preliminary reads can expedite clinical workflows, reduce bias and increase diagnostic throughput of radiologists.