AIMC Topic: Natural Language Processing
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Letter to the editor: "Can natural language processing serve as a consultant in oral surgery?".
Journal of stomatology, oral and maxillofacial surgery
Jul 4, 2024
Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder.
Translational psychiatry
Jul 4, 2024
Suicide is a growing public health problem around the world. The most important risk factor for suicide is underlying psychiatric illness, especially depression. Detailed classification of suicide in patients with depression can greatly enhance perso...
Risk factors for prediabetes in community-dwelling adults: A generalized estimating equation logistic regression approach with natural language processing insights.
Research in nursing & health
Jul 3, 2024
The global prevalence of prediabetes is expected to reach 8.3% (587 million people) by 2045, with 70% of people with prediabetes developing diabetes during their lifetimes. We aimed to classify community-dwelling adults with a high risk for prediabet...
Deep learning for schizophrenia classification based on natural language processing-A pilot study.
Schizophrenia research
Jul 3, 2024
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...
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