Healthcare
Healthcare Research
Background
Petuum Healthcare Research builds cutting-edge artificial intelligence and machine learning algorithms to improve clinical outcomes and drive transformation in health care.
Petuum Healthcare Research focuses on building novel deep learning, machine learning, natural language processing and computer vision solutions to unlock unstructured, complex and multi-modal medical data including clinical notes, lab test results and medical images and distill insights therefrom. Petuum Healthcare Research aims at developing predictive models with expert-level accuracy to help doctors make better decisions throughout the patient journey.
Publications
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing
On the Automatic Generation of Medical Imaging Reports
Baoyu Jing, Pengtao Xie, Eric P. Xing
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition
Devendra Singh Sachan, Pengtao Xie, Eric P. Xing
Medical Diagnosis from Laboratory Tests by Combining Generative and Discriminative Learning
Shiyue Zhang, Pengtao Xie, Dong Wang, Eric P. Xing
Towards Automated ICD Coding Using Deep Learning
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing
Predicting Discharge Medications at Admission Time Based on Deep Learning
Yuan Yang, Pengtao Xie, Xin Gao, Carol Cheng, Christy Li, Hongbao Zhang, Eric P. Xing
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Christy Y. Li, Xiaodan Liang, Zhiting Hu, and Eric Xing