AIMC Topic: Large Language Models

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Enhancement of long-horizon task planning via active and passive modification in large language models.

Scientific reports
This study proposes a method for generating complex and long-horizon off-line task plans using large language models (LLMs). Although several studies have been conducted in recent years on robot task planning using LLMs, the planning results tend to ...

Evaluating large language models as a supplementary patient information resource on antimalarial use in systemic lupus erythematosus.

Lupus
ObjectiveTo assess the accuracy, completeness, and reproducibility of Large Language Models (LLMs) (Copilot, GPT-3.5, and GPT-4) on antimalarial use in systemic lupus erythematosus (SLE).Materials and MethodsWe utilized 13 questions derived from pati...

Large language models and psychiatry.

International journal of law and psychiatry
Integrating Generative Artificial Intelligence and Large Language Models (LLMs) such as GPT-4 is transforming clinical medicine and cognitive psychology. These models exhibit remarkable capabilities in understanding and generating human-like language...

Large language models for conducting systematic reviews: on the rise, but not yet ready for use-a scoping review.

Journal of clinical epidemiology
BACKGROUND AND OBJECTIVES: Machine learning promises versatile help in the creation of systematic reviews (SRs). Recently, further developments in the form of large language models (LLMs) and their application in SR conduct attracted attention. We ai...

Inductive reasoning with large language models: A simulated randomized controlled trial for epilepsy.

Epilepsy research
INTRODUCTION: To investigate the potential of using artificial intelligence (AI), specifically large language models (LLMs), for synthesizing information in a simulated randomized clinical trial (RCT) for an anti-seizure medication, cenobamate, demon...

The Feasibility of Large Language Models in Verbal Comprehension Assessment: Mixed Methods Feasibility Study.

JMIR formative research
BACKGROUND: Cognitive assessment is an important component of applied psychology, but limited access and high costs make these evaluations challenging.

Effectiveness of Transformer-Based Large Language Models in Identifying Adverse Drug Reaction Relations from Unstructured Discharge Summaries in Singapore.

Drug safety
INTRODUCTION: Transformer-based large language models (LLMs) have transformed the field of natural language processing and led to significant advancements in various text processing tasks. However, the applicability of these LLMs in identifying relat...

Building an intelligent diabetes Q&A system with knowledge graphs and large language models.

Frontiers in public health
INTRODUCTION: This paper introduces an intelligent question-answering system designed to deliver personalized medical information to diabetic patients. By integrating large language models with knowledge graphs, the system aims to provide more accura...

Assessment of large language models in medical quizzes for clinical chemistry and laboratory management: implications and applications for healthcare artificial intelligence.

Scandinavian journal of clinical and laboratory investigation
Large language models (LLMs) have demonstrated high performance across various fields due to their ability to understand, generate, and manipulate human language. However, their potential in specialized medical domains, such as clinical chemistry and...