AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 1 to 10 of 147 articles

Emotional prompting amplifies disinformation generation in AI large language models.

Frontiers in artificial intelligence
INTRODUCTION: The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. While these developments offer significant opportuni...

Assessing large language models as assistive tools in medical consultations for Kawasaki disease.

Frontiers in artificial intelligence
BACKGROUND: Kawasaki disease (KD) presents complex clinical challenges in diagnosis, treatment, and long-term management, requiring a comprehensive understanding by both parents and healthcare providers. With advancements in artificial intelligence (...

Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles.

Frontiers in artificial intelligence
Large language models (LLMs), such as GPT-4o, provide versatile techniques for generating and formatting structured data. However, prompt style plays a critical role in determining the accuracy, efficiency, and token cost of the generated outputs. Th...

LLM services in the management of social communications.

Frontiers in artificial intelligence
This paper proposes enhancing social communication management with a behavioral economics approach through artificial intelligence instruments. The research aims to explore the influence of social communication on citizens' behavior using large langu...

Comparison of the accuracy of GPT-4 and resident physicians in differentiating benign and malignant thyroid nodules.

Frontiers in artificial intelligence
OBJECTIVE: To assess the diagnostic performance of the GPT-4 model in comparison to resident physicians in distinguishing between benign and malignant thyroid nodules using ultrasound images.

Environment sustainability with smart grid sensor.

Frontiers in artificial intelligence
Environmental sustainability is a pressing global concern, with energy conservation and efficient utilization playing a key role in its achievement. Smart grid technology has emerged as a promising solution, facilitating energy efficiency, promoting ...

One size fits all: Enhanced zero-shot text classification for patient listening on social media.

Frontiers in artificial intelligence
Patient-focused drug development (PFDD) represents a transformative approach that is reshaping the pharmaceutical landscape by centering on patients throughout the drug development process. Recent advancements in Artificial Intelligence (AI), especia...

Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment.

Frontiers in artificial intelligence
Algorithms are involved in decisions ranging from trivial to significant, but people often express distrust toward them. Research suggests that educational efforts to explain how algorithms work may help mitigate this distrust. In a study of 1,921 pa...

Deep learning and explainable AI for classification of potato leaf diseases.

Frontiers in artificial intelligence
The accurate classification of potato leaf diseases plays a pivotal role in ensuring the health and productivity of crops. This study presents a unified approach for addressing this challenge by leveraging the power of Explainable AI (XAI) and transf...

Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities.

Frontiers in artificial intelligence
INTRODUCTION: The integration of recent technologies in medical imaging has become a cornerstone of modern healthcare, facilitating detailed analysis of internal anatomy and pathology. Traditional methods, however, often grapple with data-sharing res...