AIMC Topic: Natural Language Processing
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MIGP: Metapath Integrated Graph Prompt Neural Network.
Neural networks : the official journal of the International Neural Network Society
Aug 2, 2024
Graph neural networks (GNNs) leveraging metapaths have garnered extensive utilization. Nevertheless, the escalating parameters and data corpus within graph pre-training models incur mounting training costs. Consequently, GNN models encounter hurdles ...
Botulinum Toxin Type A (BoNT-A) Use for Post-Stroke Spasticity: A Multicenter Study Using Natural Language Processing and Machine Learning.
Toxins
Aug 2, 2024
We conducted a multicenter and retrospective study to describe the use of botulinum toxin type A (BoNT-A) to treat post-stroke spasticity (PSS). Data were extracted from free-text in electronic health records (EHRs) in five Spanish hospitals. We incl...
BrainNPT: Pre-Training Transformer Networks for Brain Network Classification.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 2, 2024
Deep learning methods have advanced quickly in brain imaging analysis over the past few years, but they are usually restricted by the limited labeled data. Pre-trained model on unlabeled data has presented promising improvement in feature learning in...
Artificial Intelligence: A Help or Hindrance to Scientific Writing?
Annals of surgery
Aug 1, 2024
We have assessed the chatbot Generative Pretrained Transformer, a type of artificial intelligence software designed to simulate conversations with human users, in an experiment designed to test its relevance to scientific writing. chatbot Generative ...
Enhancing Postmarketing Surveillance of Medical Products With Large Language Models.
JAMA network open
Aug 1, 2024
IMPORTANCE: The Sentinel System is a key component of the US Food and Drug Administration (FDA) postmarketing safety surveillance commitment and uses clinical health care data to conduct analyses to inform drug labeling and safety communications, FDA...
Classification of Patients' Judgments of Their Physicians in Web-Based Written Reviews Using Natural Language Processing: Algorithm Development and Validation.
Journal of medical Internet research
Aug 1, 2024
BACKGROUND: Patients increasingly rely on web-based physician reviews to choose a physician and share their experiences. However, the unstructured text of these written reviews presents a challenge for researchers seeking to make inferences about pat...
An Accurate and Automated Method for Adenoma Detection Rate and Report Card Generation Utilizing Common Electronic Health Records.
Journal of clinical gastroenterology
Aug 1, 2024
GOALS: To develop an automated method for Adenoma Detection Rate (ADR) calculation and report card generation using common electronic health records (EHRs).
Evaluating the accuracy of lung-RADS score extraction from radiology reports: Manual entry versus natural language processing.
International journal of medical informatics
Jul 31, 2024
INTRODUCTION: Radiology scoring systems are critical to the success of lung cancer screening (LCS) programs, impacting patient care, adherence to follow-up, data management and reporting, and program evaluation. LungCT ScreeningReporting and Data Sys...
MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering.
Artificial intelligence in medicine
Jul 31, 2024
Large Language Models (LLMs) have the potential of facilitating the development of Artificial Intelligence technology to assist medical experts for interactive decision support. This potential has been illustrated by the state-of-the-art performance ...
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts.
IEEE transactions on visualization and computer graphics
Jul 31, 2024
Recent growth in the popularity of large language models has led to their increased usage for summarizing, predicting, and generating text, making it vital to help researchers and engineers understand how and why they work. We present KnowledgeVIS, a...
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