UNLABELLED: The study assesses the performance of AI models in evaluating postmenopausal osteoporosis. We found that ChatGPT-4o produced the most appropriate responses, highlighting the potential of AI to enhance clinical decision-making and improve ...
Angiographic normative values for the size of intracranial vessels are difficult to obtain, since they vary with gender, height and weight. Cerebral angiography only is indicated in severe cerebrovascular diseases, which also can affect cerebral vess...
OBJECTIVES: To explore perceptions of digitalisation and patient safety from the view of the German general public and related sociodemographic factors.
INTRODUCTION: There are estimated to be 3.4 million patients in the UK living after a diagnosis of cancer. We know very little about their quality of life or healthcare usage. Patient-reported outcome measures (PROMs) are tools which help to translat...
BACKGROUND: Adverse drug reactions (ADR) present significant challenges in health care, where early prevention is vital for effective treatment and patient safety. Traditional supervised learning methods struggle to address heterogeneous health care ...
BACKGROUND: Youth mental health issues have been recognized as a pressing crisis in the United States in recent years. Effective, evidence-based mental health research and interventions require access to integrated datasets that consolidate diverse a...
BACKGROUND: The rapid advancement of next-generation sequencing has significantly expanded the landscape of precision medicine. However, health care professionals face increasing challenges in keeping pace with the growing body of oncological knowled...
For effective treatment of bacterial infections, it is essential to identify the species causing the infection as early as possible. Current methods typically require hours of overnight culturing of a bacterial sample and a larger quantity of cells t...
Due to limited literacy among root-level farmers, hydroponic farming in Bangladesh faces significant challenges. Therefore, there is a demand for easy-to-use technical systems to help farmers to monitor and operate smart systems. To address the issue...
PURPOSE: To develop and validate a deep learning-based model for automated evaluation of mammography phantom images, with the goal of improving inter-radiologist agreement and enhancing the efficiency of quality control within South Korea's national ...
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