AIMC Topic: Language

Clear Filters Showing 91 to 100 of 1580 articles

Assessing the potential utility of large language models for assisting community health workers: protocol for a prospective, observational study in Rwanda.

BMJ open
INTRODUCTION: Community health workers (CHWs) are critical to healthcare delivery in low-resource settings but often lack formal clinical training, limiting their decision-making. Large language models (LLMs) could provide real-time, context-specific...

Evaluation Strategies for Large Language Model-Based Models in Exercise and Health Coaching: Scoping Review.

Journal of medical Internet research
BACKGROUND: Large language model (LLM)-based artificial intelligence (AI) coaches show promise for personalized exercise and health interventions. However, the unique demands of ensuring safety and real-time, multimodal personalized feedback have cre...

Brain-to-text decoding with context-aware neural representations and large language models.

Journal of neural engineering
. Decoding attempted speech from neural activity offers a promising avenue for restoring communication abilities in individuals with speech impairments. Previous studies have focused on mapping neural activity to text using phonemes as the intermedia...

From digital assistants to clinical partners: revolutionizing pediatric urology through large language model-powered decision support and patient education.

World journal of urology
BACKGROUND: Large language models (LLMs) demonstrate increasing potential in healthcare applications, yet their clinical utility in specialized pediatric medicine remains inadequately characterized. This study evaluated LLM performance in pediatric u...

Evaluating the readability and quality of AI-generated scoliosis education materials: a comparative analysis of five language models.

Scientific reports
The complexity of scoliosis-related terminology and treatment options often hinders patients and caregivers from understanding their choices, making it difficult to make informed decisions. As a result, many patients seek guidance from artificial int...

Towards scalable and cross-lingual specialist language models for oncology.

Scientific reports
Clinical oncology generates vast, unstructured data that often contain inconsistencies, missing information, and ambiguities, making it difficult to extract reliable insights for data-driven decision-making. General-purpose large language models (LLM...

Large Language Models: A Paradigm Shift for Dementia Diagnosis and Care.

British journal of hospital medicine (London, England : 2005)
Dementia poses major challenges to healthcare worldwide. Traditional diagnostics rely on lengthy assessments, and access to specialist clinicians is limited. Large language models (LLMs), like Generative Pre-trained Transformer 4 (GPT-4) present new ...

Decoding trust in large language models for healthcare in Saudi Arabia.

Scientific reports
This study investigates the factors influencing user trust and decision-making when using Artificial Intelligence (AI) systems, specifically focusing on ChatGPT in the healthcare domain within the Saudi context. As AI-powered conversational agents ar...

Evaluating AI-Powered Applications for Enhancing Undergraduate Students' Metacognitive Strategies, Self-Determined Motivation, and Social Learning in English Language Education.

Scientific reports
Artificial Intelligence (AI) technologies are transforming educational settings by offering tools that enhance learning experiences. AI-powered applications, such as ChatGPT and Poe, provide real-time assistance, fostering learner autonomy and self-d...

On the effectiveness of limited-data large language model fine-tuning for Arabic.

PloS one
This paper presents an investigation into fine-tuning large language models (LLMs) for Arabic natural language processing (NLP) tasks. Although recent multilingual LLMs have made remarkable progress in zero-shot and few-shot settings, specialized mod...