David Levy — accepted AI-conference papers

2022

Generation of Patient After-Visit Summaries to Support Physicians

Pengshan Cai, Fei Liu, Adarsha Bajracharya, Joe Sills, Alok Kapoor, Weisong Liu +4

COLING 2022main

An after-visit summary (AVS) is a summary note given to patients after their clinical visit. It recaps what happened during their clinical visit and guides patients’ disease self-management. Studies have shown that a majority of patients found after-visit summaries useful. However, many physicians f…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗

2022

MedJEx: A Medical Jargon Extraction Model with Wiki’s Hyperlink Span and Contextualized Masked Language Model Score

Sunjae Kwon, Zonghai Yao, Harmon Jordan, David Levy, Brian Corner, Hong Yu

EMNLP 2022main

This paper proposes a new natural language processing (NLP) application for identifying medical jargon terms potentially difficult for patients to comprehend from electronic health record (EHR) notes. We first present a novel and publicly available dataset with expert-annotated medical jargon terms…

Cited by 20 Source ↗PDF ↗code ↗Scholar ↗