AIMC Topic: Natural Language Processing
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Shared functional specialization in transformer-based language models and the human brain.
Nature communications
Jun 29, 2024
When processing language, the brain is thought to deploy specialized computations to construct meaning from complex linguistic structures. Recently, artificial neural networks based on the Transformer architecture have revolutionized the field of nat...
Leveraging spiking neural networks for topic modeling.
Neural networks : the official journal of the International Neural Network Society
Jun 27, 2024
This article investigates the application of spiking neural networks (SNNs) to the problem of topic modeling (TM): the identification of significant groups of words that represent human-understandable topics in large sets of documents. Our research i...
CKG: Improving ABSA with text augmentation using ChatGPT and knowledge-enhanced gated attention graph convolutional networks.
PloS one
Jun 27, 2024
Aspect-level sentiment analysis (ABSA) is a pivotal task within the domain of neurorobotics, contributing to the comprehension of fine-grained textual emotions. Despite the extensive research undertaken on ABSA, the limited availability of training d...
Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews.
International journal of medical informatics
Jun 26, 2024
BACKGROUND: PRISMA-based literature reviews require meticulous scrutiny of extensive textual data by multiple reviewers, which is associated with considerable human effort.
Reshaping free-text radiology notes into structured reports with generative question answering transformers.
Artificial intelligence in medicine
Jun 26, 2024
BACKGROUND: Radiology reports are typically written in a free-text format, making clinical information difficult to extract and use. Recently, the adoption of structured reporting (SR) has been recommended by various medical societies thanks to the a...
PT-KGNN: A framework for pre-training biomedical knowledge graphs with graph neural networks.
Computers in biology and medicine
Jun 26, 2024
Biomedical knowledge graphs (KGs) serve as comprehensive data repositories that contain rich information about nodes and edges, providing modeling capabilities for complex relationships among biological entities. Many approaches either learn node fea...
Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Jun 25, 2024
INTRODUCTION: Identification of individuals with mild cognitive impairment (MCI) who are at risk of developing Alzheimer's disease (AD) is crucial for early intervention and selection of clinical trials.
Unveiling the Larsen effect in the scientific literature domain: Navigating quality amidst the artificial intelligence-driven deluge.
Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Jun 25, 2024
The challenges faced by the massive increase in scientific publications draw parallels to the Larsen effect, where an amplified sound loop leads to escalating noise. This phenomenon has resulted in information overload, making it difficult for resear...
Editorial Commentary: Chat Generative Pre-Trained Transformer (ChatGPT) Provides Misinformed Responses to Medical Questions.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Jun 24, 2024
Surgeons have dealt with the negative effects of misinformation from "Dr. Google" since patients started using search engines to seek out medical information. With the advent of natural language processing software such as Chat Generative Pre-Trained...
Improving clinical abbreviation sense disambiguation using attention-based Bi-LSTM and hybrid balancing techniques in imbalanced datasets.
Journal of evaluation in clinical practice
Jun 21, 2024
RATIONALE: Clinical abbreviations pose a challenge for clinical decision support systems due to their ambiguity. Additionally, clinical datasets often suffer from class imbalance, hindering the classification of such data. This imbalance leads to cla...
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