338 citations · 757 across the 20 of their papers we have counts for
20 papers
Evaluation of AI Chatbots for Patient-Specific EHR Questions
Alaleh Hamidi, Kirk Roberts
This paper investigates the use of artificial intelligence chatbots for patient-specific question answering (QA) from clinical notes using several large language model (LLM) based…
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes
Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam +5
We introduce an annotated corpus of 600 ophthalmology notes labeled with detailed spatial and contextual information of ophthalmic entities. We extend our previously proposed frame…
Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research
Muhammad Amith, Licong Cui, Kirk Roberts +1
Model card reports provide a transparent description of machine learning models which includes information about their evaluation, limitations, intended use, etc. Federal health ag…
Toward a Neural Semantic Parsing System for EHR Question Answering
Sarvesh Soni, Kirk Roberts
Clinical semantic parsing (SP) is an important step toward identifying the exact information need (as a machine-understandable logical form) from a natural language query aimed at…
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
Jayetri Bardhan, Anthony Colas, Kirk Roberts +1
This paper develops the first question answering dataset (DrugEHRQA) containing question-answer pairs from both structured tables and unstructured notes from a publicly available E…
Deep learning-based NLP Data Pipeline for EHR Scanned Document Information Extraction
Enshuo Hsu, Ioannis Malagaris, Yong-Fang Kuo +2
Scanned documents in electronic health records (EHR) have been a challenge for decades, and are expected to stay in the foreseeable future. Current approaches for processing often…