Academic Articles & Research Papers

Rosie en Español, a Chatbot-Delivered Intervention for Spanish-Speaking, US-Based Latina Mothers: Pilot Randomized Controlled Trial.

Exploring the performance of ChatGPT-3.5 in addressing dermatological queries: a research investigation into AI capabilities

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...

Computer vision and AI-based cell phone usage detection in restricted zones of manufacturing industries

Phone calls are strictly forbidden in certain locations due to the potential security threats. Mobile phones’ growing capabilities have also increased the risk of their misuse in places that are restricted, like manufacturing plants. Unauth...

Leveraging Generative AI Tools for Enhanced Lesson Planning in Initial Teacher Education at Post Primary

The rapid development of generative AI (artificial intelligence) tools such as ChatGPT and Google Bard has opened new possibilities for enhancing lesson planning in initial teacher education (ITE). These tools have the capability to generat...

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 ...

Treatment and outcomes of difficult-to-treat Stenotrophomonas maltophilia pneumonia in the intensive care unit: a multinational retrospective cohort study.

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts

This study investigated whether artificial intelligence (AI) systems could evaluate the content validity of B1-level English reading comprehension items in a manner comparable to human experts. A 25-item multiple-choice test was developed a...

Impact of Artificial Intelligence (Chatgpt and Google-Bard) on Undergraduates’ Creative Writing Skills at A University in Northeastern Nigeria

Artificial intelligence (AI) has a profound influence on various facets of modern-day society, notably within the realm of education. Its application in educational settings is extensive, primarily aimed at improving the methods of instruct...

A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems

In modern societies, the rampant growth of the Internet, both on the technological and social level, has created fertile ground for the emergence of new types of risk. On top of that, it enhances pre-existing threats by offering new means f...

Path Planning Approaches in Multi‐robot System: A Review

ABSTRACT The essential factor in developing multi‐robot systems is the generation of an optimal path for task completion by multiple robots. To ensure effective path planning, this paper studies the recent publications and provides a detail...