AIMC Topic: Natural Language Processing
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Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study.
JMIR medical informatics
Aug 28, 2025
BACKGROUND: Recent advances in large language models have highlighted the need for high-quality multilingual medical datasets. Although Japan is a global leader in computed tomography (CT) scanner deployment and use, the absence of large-scale Japane...
Transforming Patient Feedback Into Actionable Insights Through Natural Language Processing: Knowledge Discovery and Action Research Study.
JMIR formative research
Aug 26, 2025
BACKGROUND: Patient feedback has emerged as a critical measure of health care quality and a key driver of organizational performance. Traditional manual analysis of unstructured patient feedback presents significant challenges as data volumes grow, m...
An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study.
JMIR medical informatics
Aug 26, 2025
BACKGROUND: Diagnosis of venous thromboembolism (VTE) is often delayed, and facilitating earlier diagnosis may improve associated morbidity and mortality. Clinical notes contain information not found elsewhere in the medical record that could facilit...
Natural language processing assisted detection of inappropriate proton pump inhibitor use in adult hospitalised patients.
European journal of hospital pharmacy : science and practice
Aug 21, 2025
OBJECTIVES: To establish a clinical application monitoring system for proton pump inhibitors (PPI-MS) and to enhance the detection and intervention of inappropriate PPI use in adult hospitalised patients.
Navigating tenses in Bengali sentences: A stacked ensemble model for enhanced prediction.
PloS one
Aug 21, 2025
Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence...
Symptom Recognition in Medical Conversations Via multi- Instance Learning and Prompt.
Journal of medical systems
Aug 20, 2025
With the widespread adoption of electronic health record (EHR) systems, there is a crucial need for automatic extraction of key symptom information from medical dialogue to support intelligent medical record generation. However, symptom recognition i...
Sparse autoencoders uncover biologically interpretable features in protein language model representations.
Proceedings of the National Academy of Sciences of the United States of America
Aug 19, 2025
Foundation models in biology-particularly protein language models (PLMs)-have enabled ground-breaking predictions in protein structure, function, and beyond. However, the "black-box" nature of these representations limits transparency and explainabil...
Discovering action insights from large-scale assessment log data using machine learning.
Scientific reports
Aug 19, 2025
This study introduces a novel machine learning algorithm that combines natural language processing techniques, such as Word2Vec and Doc2Vec, with neural networks to identify and validate significant actions within human action sequences. Using the 20...
A simulated dataset for proactive robot task inference from streaming natural language dialogues.
Scientific data
Aug 11, 2025
This paper introduces a dataset designed to support research on proactive robots that infer human needs from natural language conversations. Unlike traditional human-robot interaction datasets focused on explicit commands, this dataset captures impli...
A novel multi-modal retrieval framework for tracking vehicles using natural language descriptions.
PloS one
Aug 11, 2025
Recent advances in multimodal and contrastive learning have significantly enhanced image and video retrieval capabilities. This fusion provides numerous opportunities for multi-dimensional and multi-view retrieval, especially in multi-camera surveill...
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