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Thursday, August 22 • 3:00pm - 3:30pm
Deep Learning for Radiology Text Report Classification

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In this talk, I will discuss about our proposed advanced deep learning models for classifying free text radiology reports based on the presence of pulmonary emboli (PE). The models are trained on a subset of Stanford training set (2512 reports) and evaluated on reports collected from four major healthcare centers. Our experiments suggest feasibility of broader usage of neural networks in automated classification of multi-institutional imaging text reports for various applications including evaluation of imaging utilization, imaging yield, and clinical decision support tools. 

avatar for Sadid Hasan, PhD

Sadid Hasan, PhD

Senior Scientist (Tech Lead), Philips Research
Sadid Hasan is a Senior Scientist (Tech Lead) of the Artificial Intelligence Group at Philips Research, Cambridge, MA. His recent research focuses on solving NLP problems related to Information Extraction and Text Classification using Deep Learning. 

Thursday August 22, 2019 3:00pm - 3:30pm EDT
Room 406 595 Commonwealth Avenue, Boston, MA 02215, USA