AIMC Topic: Natural Language Processing
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Assessing Laterality Errors in Radiology: Comparing Generative Artificial Intelligence and Natural Language Processing.
Journal of the American College of Radiology : JACR
Jul 1, 2024
PURPOSE: We compared the performance of generative artificial intelligence (AI) (Augmented Transformer Assisted Radiology Intelligence [ATARI, Microsoft Nuance, Microsoft Corporation, Redmond, Washington]) and natural language processing (NLP) tools ...
Personalized Language Model Selection Through Gamified Elicitation of Contrastive Concept Preferences.
IEEE transactions on visualization and computer graphics
Jul 1, 2024
Language models are widely used for different Natural Language Processing tasks while suffering from a lack of personalization. Personalization can be achieved by, e.g., fine-tuning the model on training data that is created by the user (e.g., social...
Stereoisomers Are Not Machine Learning's Best Friends.
Journal of chemical information and modeling
Jul 1, 2024
This study addresses the challenge of accurately identifying stereoisomers in cheminformatics, which originates from our objective to apply machine learning to predict the association constant between cyclodextrin and a guest. Identifying stereoisome...
Advancing equity in breast cancer care: natural language processing for analysing treatment outcomes in under-represented populations.
BMJ health & care informatics
Jul 1, 2024
OBJECTIVE: The study aimed to develop natural language processing (NLP) algorithms to automate extracting patient-centred breast cancer treatment outcomes from clinical notes in electronic health records (EHRs), particularly for women from under-repr...
Use of natural language processing techniques to predict patient selection for total hip and knee arthroplasty from radiology reports.
The bone & joint journal
Jul 1, 2024
AIMS: To examine whether natural language processing (NLP) using a clinically based large language model (LLM) could be used to predict patient selection for total hip or total knee arthroplasty (THA/TKA) from routinely available free-text radiology ...
Multi-Grained Radiology Report Generation With Sentence-Level Image-Language Contrastive Learning.
IEEE transactions on medical imaging
Jul 1, 2024
The automatic generation of accurate radiology reports is of great clinical importance and has drawn growing research interest. However, it is still a challenging task due to the imbalance between normal and abnormal descriptions and the multi-senten...
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.
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