AIMC Topic: Natural Language Processing
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Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models.
Computers in biology and medicine
Jun 10, 2025
Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where, despite treatment, they continue to experience significant burden. We sought to develop a tool c...
Assessing the accuracy and consistency of large language models in triaging social media posts for psychological distress.
Psychiatry research
Jun 8, 2025
Advances in artificial intelligence, particularly in natural language processing, offer promising tools for addressing mental health challenges in online contexts, potentially identifying at-risk individuals and informing timely interventions. This s...
Tailoring task arithmetic to address bias in models trained on multi-institutional datasets.
Journal of biomedical informatics
Jun 8, 2025
OBJECTIVE: Multi-institutional datasets are widely used for machine learning from clinical data, to increase dataset size and improve generalization. However, deep learning models in particular may learn to recognize the source of a data element, lea...
First impressions of a humanoid social robot with natural language capabilities.
Scientific reports
Jun 5, 2025
Concurrent developments in robotic design and natural language processing (NLP) have enabled the production of humanoid chatbots that can operate in commercial and community settings. Though still novel, the presence of physically embodied social rob...
Analyzing the evolutionary trajectory of technological themes based on the BERTopic model: A case study in the field of artificial intelligence.
PloS one
Jun 5, 2025
As the wave of technological innovation propels national development into the future, technological advancement has emerged as a crucial pillar for enhancing international competitiveness. Unraveling the evolutionary trajectory of technologies and th...
Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.
Scientific reports
Jun 3, 2025
Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (HEOR) evidence synthesis. SLRs involve the identification and selection of pertinent publications and extraction of relevant data elements from full-t...
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...
MedBLIP: A multimodal method of medical question-answering based on fine-tuning large language model.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 31, 2025
Medical visual question answering is crucial for effectively interpreting medical images containing clinically relevant information. This study proposes a method called MedBLIP (Medical Treatment Bootstrapping Language-Image Pretraining) to tackle vi...
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...
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...
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