Academic Articles & Research Papers

Context-Aware LLM-Guided Neighbourhood Search for Simulation-Based Production Scheduling

The paper presents a novel large language model-based neighbourhood search method for production scheduling using discrete-event simulation (DES) as the modelling and evaluation engine. The combination of large language models (LLMs) and DE...

Evaluating Model Resilience to Data Poisoning Attacks: A Comparative Study

Machine learning (ML) has become a cornerstone of critical applications, but its vulnerability to data poisoning attacks threatens system reliability and trustworthiness. Prior studies have begun to investigate the impact of data poisoning ...

Teens, Tech, and Talk: Adolescents’ Use of and Emotional Reactions to Snapchat’s My AI Chatbot

Due to technological advancements such as generative artificial intelligence (AI) and large language models, chatbots enable increasingly human-like, real-time conversations through text (e.g., OpenAI’s ChatGPT) and voice (e.g., Amazon’s Al...

Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design.

Expert Agents for Social and Emotional Learning: An Agentic Graph Retrieval Augmented Generation Approach

The positive impact of Social and Emotional Learning (SEL) activities in schools is widely recognized in various sectors, including mental health, social relationships, and academic performance of students. This impact can be efficiently re...

Artificial intelligence and increasing misinformation

With the recent advances in artificial intelligence (AI), patients are increasingly exposed to misleading medical information. Generative AI models, including large language models such as ChatGPT, create and modify text, images, audio and ...

The Effects of Large Language Models on the Generation of Multiple-choice Questions in Medical Education: A Scoping Review

Background: Constructing high-quality multiple-choice questions (MCQs) is critical yet resource-intensive in medical education. Large language models (LLMs), such as ChatGPT, have become promising tools for generating MCQs in medical educat...

Assisting Screening of Adolescent Depression With Large Language Models as Symptom Detectors: Algorithm Development and Validation.

Large language model bias auditing for periodontal diagnosis using an ambiguity-probe methodology: a pilot study

BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...

Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction

Summary:. Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. The current literature discusses clinical applications and limitations of AI, but its r...

Accuracy and reliability of Manus, ChatGPT, and Claude in case-based dental diagnosis

IntroductionArtificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, thei...

A Primer on Generative Artificial Intelligence

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...

Comparative Evaluation of Artificial Intelligence-Generated Physician-Level Educational Content in Diabetic Foot Ulcers: Quality, Guideline Concordance, and Clinical Reliability

The study aimed to evaluate the quality, clinical reliability, and guideline concordance of physician-level educational responses generated by artificial intelligence (AI) in diabetic foot ulcer management. A blinded, comparative analysis w...

Managing artificial intelligence

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

A virtual physicist framework integrating dose prediction and large language models for automated treatment planning.

Quantized large language models in biomedical natural language processing: evaluation and recommendation.