Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing.

Kyeryoung Lee Zongzhi Z Liu Urmila Chandran Iftekhar Kalsekar Balaji Laxmanan Mitchell K Higashi Tomi Jun Meng Ma Minghao Li Yun Mai Christopher Gilman Tongyu Wang Lei Ai Parag Aggarwal Qi Pan William K Oh Gustavo Stolovitzky Eric E Schadt Xiaoyan Wang

Published in: JMIR AI (2023)

Our deep learning-based NLP pipeline can automatically extract granular GGO features at scale from electronic health records when this information is documented in radiology notes and help inform the natural history of GGO. This will open the way for a new paradigm in lung cancer prevention and early detection.

Keyphrases

deep learning
electronic health record
artificial intelligence
convolutional neural network
machine learning
clinical decision support
minimally invasive
autism spectrum disorder
oxidative stress
cross sectional
high throughput
anti inflammatory
healthcare