AIMC Topic: Natural Language Processing

Clear Filters Showing 171 to 180 of 3983 articles

Analyzing the evolutionary trajectory of technological themes based on the BERTopic model: A case study in the field of artificial intelligence.

PloS one
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...

Empathy training for counselling novices: A randomized controlled trial using machine learning and natural language processing.

Psychology and psychotherapy
OBJECTIVE: Empathy is a critical skill for effective counselling, yet novice counsellors often struggle to develop it. Traditional training methods may not sufficiently address the complexities of empathic development. This study aims to develop and ...

Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Scientific reports
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
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
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
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
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...

Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl.

Artificial intelligence in medicine
Electronic Health Records (EHRs) contain written notes by all kinds of medical professionals about all aspects of well-being of a patient. When adequately processed with a Large Language Model (LLM), this enormous source of information can be analyze...

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse.

Journal of medical Internet research
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...