BACKGROUND: Patients' protection motivation (PM) and self-care behaviors are essential for sustaining oral hygiene adherence and long-term periodontal health.
Despite the current ubiquity of large language models (LLMs) across the medical domain, there is a surprising lack of studies which address their . We emphasise the importance of understanding as opposed to high-level prediction accuracies, since it...
BACKGROUND: This study investigated the perceptions of care psychologists regarding the adoption of generative artificial intelligence (GenAI) in therapeutic practice. As AI continues to be integrated into various sectors, including healthcare, under...
BACKGROUND: The issues regarding the use of artificial intelligence (AI) and academic integrity are important contemporary topics. There are no clear regulations governing the use of AI in academic institutions in Ukraine. This study aimed to explore...
OBJECTIVE: To evaluate the feasibility and educational value of employing large language models (LLMs) to generate clinical case scenario with multiple-choice questions (MCQs) for undergraduate medical education.
BACKGROUND: For the effective treatment planning of head and neck cancers, precise tumor segmentation is vital. The combination of artificial intelligence (AI) technology with imaging systems like positron emission tomography (PET) and PET/ computed ...
Financial literacy and access to banking services are still major challenges, especially in multilingual regions. Many people who do not speak English fluently face difficulties using traditional banking online systems. To help solve this problem, we...
The application of artificial intelligence in cheminformatics highlights the necessity of comprehensive datasets that fully utilize all available chemical information. While generalist databases such as PubChem provide extensive compound coverage, sp...
Artificial intelligence (AI) offers significant potential to enhance writing instruction in primary education. However, its sustained adoption by English language teachers remains insufficiently understood. This study examines the factors influencing...
One of the common challenges in medical artificial intelligence (AI) applications using echocardiography is the lack of image data harmonization. This study aims to improve the prediction accuracy of left ventricular ejection fraction (LVEF) AI model...
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