AIMC Topic: Natural Language Processing
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HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 29, 2023
Developing clinical natural language systems based on machine learning and deep learning is dependent on the availability of large-scale annotated clinical text datasets, most of which are time-consuming to create and not publicly available. The lack...
Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 29, 2023
A gold standard annotated corpus is usually indispensable when developing natural language processing (NLP) systems. Building a high-quality annotated corpus for clinical NLP requires considerable time and domain expertise during the annotation proce...
[Feasibility Study of the Prediction of Radiologist's Instructions with the Bi-LSTM Model Trained with Descriptions of MR Imaging Order-statement].
Nihon Hoshasen Gijutsu Gakkai zasshi
Apr 26, 2023
PURPOSE: Magnetic resonance (MR) images provide essential diagnostic information; however, it is also a very burdensome examination for patients. At our hospital, radiologists make imaging instructions for all MR examination orders, but this is a tim...
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health.
Frontiers in public health
Apr 25, 2023
Large Language Models (LLMs) have recently gathered attention with the release of ChatGPT, a user-centered chatbot released by OpenAI. In this perspective article, we retrace the evolution of LLMs to understand the revolution brought by ChatGPT in th...
Contextualized medication information extraction using Transformer-based deep learning architectures.
Journal of biomedical informatics
Apr 24, 2023
OBJECTIVE: To develop a natural language processing (NLP) system to extract medications and contextual information that help understand drug changes. This project is part of the 2022 n2c2 challenge.
Natural language processing of pediatric progress notes for the identification of food allergy.
The journal of allergy and clinical immunology. In practice
Apr 23, 2023
Explainable hybrid word representations for sentiment analysis of financial news.
Neural networks : the official journal of the International Neural Network Society
Apr 21, 2023
Due to the increasing interest of people in the stock and financial market, the sentiment analysis of news and texts related to the sector is of utmost importance. This helps the potential investors in deciding what company to invest in and what are ...
Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging.
AJR. American journal of roentgenology
Apr 19, 2023
Reported rates of recommendations for additional imaging (RAIs) in radiology reports are low. Bidirectional encoder representations from transformers (BERT), a deep learning model pretrained to understand language context and ambiguity, has potentia...
Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study.
Journal of medical Internet research
Apr 17, 2023
BACKGROUND: Patients and families need to be provided with trusted information more than ever with the abundance of online information. Several organizations aim to build databases that can be searched based on the needs of target groups. One such gr...
Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.
BMC medical research methodology
Apr 11, 2023
BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to delays, early trial termination, and wasted resources. Under-enrolling trials make it impossible to ...
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