Tanveer Syeda-Mahmood 

IBM Fellow
IBM Research Center

Panelist: Data Science in Healthcare: Opportunities & Challenges ​

Tech Vision Talk: A Turing Test for Chest Radiology AI 

Abstract 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.
Following the success of Watson Jeopardy, the Medical Sieve Team at IBM Research took on the grand challenge of passing the Turing test in chest radiology by producing an automated preliminary read report using AI to interpret chest Xray imaging in a manner that is virtually indistinguishable from those of radiology residents. In this talk, I will describe the large multi-disciplinary grand challenge data science effort that led to this achievement after overcoming many scientific, technological, and medical knowledge challenges and requiring extensive evaluations through multi-institutional data clinical studies.

Biography:

Tanveer is an IBM Fellow and global leader for imaging AI in IBM Research. Over the last decade she was involved in pioneering the field of radiology AI decision support through a large-scale research effort as the Chief Scientist of the Medical Sieve Radiology Grand Challenge. She also shepherded the transition of the underlying technologies to define the new products from Watson Health called Patient Synopsis and Clinical Review. Over the years, Dr. Syeda-Mahmood has led the transformation in many related AI fields including being the originator of the field of content-based retrieval in multimedia. Dr. Syeda-Mahmood has over 200 refereed publications and over 120 issued patents. She has led the organization of many conferences over the years including CVPR 2008 (Program co-Chair), IEEE HISB-2011 (General Chair), IEEE ISBI 2022 (Program co-Chair), and MICCAI 2023 (General Chair). Dr. Syeda-Mahmood is a Fellow of IEEE, AIMBE, and AAIA. ​

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