AIMC Topic: Language

Clear Filters Showing 1311 to 1320 of 1580 articles

Data Interpretation in Structural Health Monitoring: Toward a Universal Language.

Sensors (Basel, Switzerland)
Structural Health Monitoring (SHM) relies on the effective communication between sensors and diagnostic systems, yet data interpretation remains inconsistent and subjective. This paper introduces a novel perspective, viewing data as a form of languag...

Global Health care Professionals' Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study.

JMIR medical education
BACKGROUND: ChatGPT is a large language model-based chatbot developed by OpenAI. ChatGPT has many potential applications to health care, including enhanced diagnostic accuracy and efficiency, improved treatment planning, and better patient outcomes. ...

Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study.

Journal of medical Internet research
BACKGROUND: Synthetic electronic health records (EHRs) generated by large language models (LLMs) offer potential for clinical education and model training while addressing privacy concerns. However, performance variations and demographic biases in th...

Transformer-Based Language Models for Group Randomized Trial Classification in Biomedical Literature: Model Development and Validation.

JMIR medical informatics
BACKGROUND: For the public health community, monitoring recently published articles is crucial for staying informed about the latest research developments. However, identifying publications about studies with specific research designs from the extens...

The linguistic feedback of tourism robots significantly influences visitors' ecotourism behaviors.

Scientific reports
With the extensive application of artificial intelligence technology in the tourism industry, robot-assisted tourism has become a vital strategy for enhancing tourist experiences and promoting sustainable tourism practices. This study aims to explore...

Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis.

Journal of biomedical science
BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), a Large Language Model (LLM), in healthcare promises to reshape patient care, clinical decision-making, and medical education. ...

GP or ChatGPT? Ability of large language models (LLMs) to support general practitioners when prescribing antibiotics.

The Journal of antimicrobial chemotherapy
INTRODUCTION: Large language models (LLMs) are becoming ubiquitous and widely implemented. LLMs could also be used for diagnosis and treatment. National antibiotic prescribing guidelines are customized and informed by local laboratory data on antimic...

Rising Influence of Artificial Intelligence: Trends in Large Language Model Usage in Dermatology Residency Personal Statements.

Journal of drugs in dermatology : JDD
With the public release of ChatGPT before the 2024 dermatology residency application cycle, applicants gained access to an advanced language model capable of generating or enhancing personal statements. This study examines trends in artificial intell...

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models.

IEEE transactions on visualization and computer graphics
The integration of Large Language Models (LLMs) like GPT-4 with Extended Reality (XR) technologies offers the potential to build truly immersive XR environments that interact with human users through natural language, e.g., generating and animating 3...

Large language models are less effective at clinical prediction tasks than locally trained machine learning models.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To determine the extent to which current large language models (LLMs) can serve as substitutes for traditional machine learning (ML) as clinical predictors using data from electronic health records (EHRs), we investigated various factors ...