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Preparing a collection of radiology examinations for distribution and retrieval
OBJECTIVE Clinical documents made available for secondary use play an increasingly important role in discovery of clinical knowledge, development of research methods, and education. An important stepExpand
Overview of the TREC 2014 Clinical Decision Support Track
TLDR
The focus of the 2014 track was the retrieval of biomedical articles relevant for answering generic clinical questions about medical records, using short case reports, such as those published in biomedical articles, as idealized representations of actual medical records. Expand
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
TLDR
A series of knowledge extractors are developed, which employ a combination of knowledge-based and statistical techniques, for automatically identifying clinically relevant aspects of MEDLINE abstracts, and which significantly outperforms the already competitive PubMed baseline. Expand
VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019
TLDR
This paper presents an overview of the Medical Visual Question Answering task (VQA-Med) at ImageCLEF 2019, and focuses on four categories of clinical questions: Modality, Plane, Organ System, and Abnormality. Expand
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
TLDR
A deep learning model is presented to efficiently detect a disease from an image and annotate its contexts (e.g., location, severity and the affected organs), and a novel approach to use the weights of the already trained pair of CNN/RNN on the domain-specific image/text dataset, to infer the joint image/ text contexts for composite image labeling. Expand
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pandemic. One of theExpand
Evaluation of PICO as a Knowledge Representation for Clinical Questions
TLDR
The PICO framework is primarily centered on therapy questions, and is less suitable for representing other types of clinical information needs, and its value as a tool to assist physicians practicing EBM is reaffirmed. Expand
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
TLDR
The shared task is motivated by a need to develop relevant methods, techniques and gold standards for inference and entailment in the medical domain, and their application to improve domain specific information retrieval and question answering systems. Expand
Generative Content Models for Structural Analysis of Medical Abstracts
TLDR
It is demonstrated that Hidden Markov Models are capable of accurately capturing the structure of medical abstracts, and can achieve classification accuracy comparable to that of discriminative techniques. Expand
A dataset of clinically generated visual questions and answers about radiology images
TLDR
This work introduces VQA-RAD, the first manually constructed dataset where clinicians asked naturally occurring questions about radiology images and provided reference answers and demonstrates the rich quality of this dataset over other automatically constructed ones. Expand
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