AIMC Topic: Natural Language Processing

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Performance of DeepSeek-R1 and ChatGPT-4o on the Chinese National Medical Licensing Examination: A Comparative Study.

Journal of medical systems Jun 3, 2025
Large Language Models (LLMs) have a significant impact on medical education due to their advanced natural language processing capabilities. ChatGPT-4o (Chat Generative Pre-trained Transformer), a mainstream Western LLM, demonstrates powerful multimod...
Educational Measurement Generative Artificial Intelligence Natural Language Processing Humans Licensure, Medical China
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Large Language Models in Medicine: Applications, Challenges, and Future Directions.

International journal of medical sciences May 31, 2025
In recent years, large language models (LLMs) represented by GPT-4 have developed rapidly and performed well in various natural language processing tasks, showing great potential and transformative impact. The medical field, due to its vast data info...
Natural Language Processing Humans Large Language Models Language
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Generating dermatopathology reports from gigapixel whole slide images with HistoGPT.

Nature communications May 27, 2025
Histopathology is the reference standard for diagnosing the presence and nature of many diseases, including cancer. However, analyzing tissue samples under a microscope and summarizing the findings in a comprehensive pathology report is time-consumin...
Humans Skin Neoplasms Artificial Intelligence Image Processing, Computer-Assisted Natural Language Processing Dermatology
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Integrating Large language models into radiology workflow: Impact of generating personalized report templates from summary.

European journal of radiology May 25, 2025
OBJECTIVE: To evaluate feasibility of large language models (LLMs) to convert radiologist-generated report summaries into personalized report templates, and assess its impact on scan reporting time and quality.
Tomography, X-Ray Computed Female Humans Retrospective Studies Workflow Feasibility Studies Male Natural Language Processing Radiology Information Systems Large Language Models
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Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse.

Journal of medical Internet research May 15, 2025
BACKGROUND: Patients with end-stage kidney disease undergoing dialysis face significant physical, psychological, and social challenges that impact their quality of life. Social media platforms such as X (formerly known as Twitter) have become importa...
Emotions Social Media Natural Language Processing Kidney Failure, Chronic Quality of Life Renal Dialysis Humans
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Using Large Language Models for Advanced and Flexible Labelling of Protocol Deviations in Clinical Development.

Therapeutic innovation & regulatory science May 13, 2025
BACKGROUND: As described in ICH E3 Q&A R1 (International Council for Harmonisation. E3: Structure and content of clinical study reports-questions and answers (R1). 6 July 2012. Available from: https://database.ich.org/sites/default/files/E3_Q%26As_R1...
Natural Language Processing Large Language Models Humans Research Design
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Learning Emotion Category Representation to Detect Emotion Relations Across Languages.

IEEE transactions on pattern analysis and machine intelligence May 7, 2025
Understanding human emotions is crucial for a myriad of applications, from psychological research to advancements in Natural Language Processing (NLP). Traditionally, emotions are categorized into distinct basic groups, which has led to the developme...
Neural Networks, Computer Machine Learning Algorithms Language Humans Emotions Natural Language Processing
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Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data.

PLoS computational biology May 7, 2025
We use open source human gut microbiome data to learn a microbial "language" model by adapting techniques from Natural Language Processing (NLP). Our microbial "language" model is trained in a self-supervised fashion (i.e., without additional externa...
Gastrointestinal Microbiome Deep Learning Microbiota Humans Natural Language Processing Irritable Bowel Syndrome Computational Biology
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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning.

Journal of biomedical semantics May 6, 2025
PURPOSE: Online consumer health forums offer an alternative source of health-related information for internet users seeking specific details that may not be readily available through articles or other one-way communication channels. However, the effe...
Consumer Health Information Machine Learning Natural Language Processing
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A Dataset of Real and Synthetic Speech in Ukrainian.

Scientific data May 6, 2025
This work is dedicated to the analysis and evaluation of the DRSSU dataset: A Dataset of Real and Synthetic Speech in Ukrainian, created to support research in the field of natural language processing and speech recognition. The dataset contains a un...
Humans Speech Machine Learning Natural Language Processing Ukraine Speech Recognition Software Language
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