AIMC Topic: Natural Language Processing

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HyGloadAttack: Hard-label black-box textual adversarial attacks via hybrid optimization.

Neural networks : the official journal of the International Neural Network Society Jun 12, 2024
Hard-label black-box textual adversarial attacks present a highly challenging task due to the discrete and non-differentiable nature of text data and the lack of direct access to the model's predictions. Research in this issue is still in its early s...
Computer Security Natural Language Processing Semantics Humans Neural Networks, Computer Algorithms
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A multimodal generative AI copilot for human pathology.

Nature Jun 12, 2024
Computational pathology has witnessed considerable progress in the development of both task-specific predictive models and task-agnostic self-supervised vision encoders. However, despite the explosive growth of generative artificial intelligence (AI)...
Male Natural Language Processing Pathology Diagnostic Imaging Clinical Decision-Making Female Humans Artificial Intelligence
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Location-enhanced syntactic knowledge for biomedical relation extraction.

Journal of biomedical informatics Jun 12, 2024
Biomedical relation extraction has long been considered a challenging task due to the specialization and complexity of biomedical texts. Syntactic knowledge has been widely employed in existing research to enhance relation extraction, providing guida...
Natural Language Processing Data Mining Semantics Humans Algorithms
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End-to-end pseudonymization of fine-tuned clinical BERT models : Privacy preservation with maintained data utility.

BMC medical informatics and decision making Jun 12, 2024
Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained language models (PLMs). These models consist of large amounts of parameters that are tuned using vast amounts of training data. These factors cause the model...
Natural Language Processing Confidentiality Privacy Humans Electronic Health Records Sweden Computer Security Anonyms and Pseudonyms
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Improving biomedical Named Entity Recognition with additional external contexts.

Journal of biomedical informatics Jun 11, 2024
OBJECTIVE: Biomedical Named Entity Recognition (bio NER) is the task of recognizing named entities in biomedical texts. This paper introduces a new model that addresses bio NER by considering additional external contexts. Different from prior methods...
Humans Algorithms Data Mining Natural Language Processing Medical Informatics PubMed Semantics
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From Pixels to Principles: A Decade of Progress and Landscape in Trustworthy Computer Vision.

Science and engineering ethics Jun 10, 2024
The rapid development of computer vision technologies and applications has brought forth a range of social and ethical challenges. Due to the unique characteristics of visual technology in terms of data modalities and application scenarios, computer ...
Bibliometrics Natural Language Processing Data Mining Artificial Intelligence Trust Humans
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Clinical research text summarization method based on fusion of domain knowledge.

Journal of biomedical informatics Jun 8, 2024
OBJECTIVE: The objective of this study is to integrate PICO knowledge into the clinical research text summarization process, aiming to enhance the model's comprehension of biomedical texts while capturing crucial content from the perspective of summa...
Data Mining Humans Biomedical Research Algorithms Neural Networks, Computer Natural Language Processing
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Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models.

Medical & biological engineering & computing Jun 7, 2024
This paper presents the implementation of two automated text classification systems for prostate cancer findings based on the PI-RADS criteria. Specifically, a traditional machine learning model using XGBoost and a language model-based approach using...
Algorithms Male Natural Language Processing Humans Prostatic Neoplasms Machine Learning Magnetic Resonance Imaging
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Dynamic and Transdiagnostic Risk Calculator Based on Natural Language Processing for the Prediction of Psychosis in Secondary Mental Health Care: Development and Internal-External Validation Cohort Study.

Biological psychiatry Jun 7, 2024
BACKGROUND: Automatic transdiagnostic risk calculators can improve the detection of individuals at risk of psychosis. However, they rely on assessment at a single point in time and can be refined with dynamic modeling techniques that account for chan...
Young Adult Adult Male Electronic Health Records Female Adolescent Cohort Studies Natural Language Processing Middle Aged Risk Assessment Humans Prognosis Secondary Care Psychotic Disorders Proportional Hazards Models
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Natural language processing pipeline to extract prostate cancer-related information from clinical notes.

European radiology Jun 6, 2024
OBJECTIVES: To develop an automated pipeline for extracting prostate cancer-related information from clinical notes.
Risk Factors Magnetic Resonance Imaging Aged Male Sensitivity and Specificity Natural Language Processing Humans Middle Aged Prostatic Neoplasms Retrospective Studies
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