Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications
N Mulla, P Gharpure - Progress in Artificial Intelligence, 2023 - Springer
Question generation in natural language has a wide variety of applications. It can be a
helpful tool for chatbots for generating interesting questions as also for automating the …
helpful tool for chatbots for generating interesting questions as also for automating the …
Prompt engineering for healthcare: Methodologies and applications
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …
involves designing and optimizing the prompts used to input information into models, aiming …
Medalign: A clinician-generated dataset for instruction following with electronic medical records
The ability of large language models (LLMs) to follow natural language instructions with
human-level fluency suggests many opportunities in healthcare to reduce administrative …
human-level fluency suggests many opportunities in healthcare to reduce administrative …
Ehrxqa: A multi-modal question answering dataset for electronic health records with chest x-ray images
Abstract Electronic Health Records (EHRs), which contain patients' medical histories in
various multi-modal formats, often overlook the potential for joint reasoning across imaging …
various multi-modal formats, often overlook the potential for joint reasoning across imaging …
Paniniqa: Enhancing patient education through interactive question answering
A patient portal allows discharged patients to access their personalized discharge
instructions in electronic health records (EHRs). However, many patients have difficulty …
instructions in electronic health records (EHRs). However, many patients have difficulty …
EHRNoteQA: A Patient-Specific Question Answering Benchmark for Evaluating Large Language Models in Clinical Settings
This study introduces EHRNoteQA, a novel patient-specific question answering benchmark
tailored for evaluating Large Language Models (LLMs) in clinical environments. Based on …
tailored for evaluating Large Language Models (LLMs) in clinical environments. Based on …
Question Answering for Electronic Health Records: A Scoping Review of datasets and models
Question Answering (QA) systems on patient-related data can assist both clinicians and
patients. They can, for example, assist clinicians in decision-making and enable patients to …
patients. They can, for example, assist clinicians in decision-making and enable patients to …
Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis
With the advent of Artificial Intelligence for healthcare, data synthesis methods present
crucial benefits in facilitating the fast development of AI models while protecting data …
crucial benefits in facilitating the fast development of AI models while protecting data …
Towards scalable structured data from clinical text
M Agrawal - 2023 - dspace.mit.edu
The adoption of electronic health records (EHRs) presents an incredible opportunity to
improve medicine both at the point-of-care and through retrospective research …
improve medicine both at the point-of-care and through retrospective research …
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
Clinical named entity recognition (NER) aims to retrieve important entities within clinical
narratives. Recent works have demonstrated that large language models (LLMs) can …
narratives. Recent works have demonstrated that large language models (LLMs) can …