Artificial Intelligence Medical Compendium

BackgroundEducational videos play a crucial role in enhancing healthcare delivery. Developing an educational video designed to improve patient understanding of catastrophic treatment. During the video's creation, two voiceover methods were employed: ... read more 

Electrochemical CO2 reduction offers a sustainable route for converting CO2 into value-added fuels and chemicals, yet achieving efficient methane production remains challenging because of the complex reaction network and insufficient catalyst selecti... read more 

BackgroundIncreasing integration of artificial intelligence (AI) into clinical workflows necessitates assessing how future healthcare professionals adapt to these technologies.ObjectıveThis study aims to determine the artificial intelligence literacy... read more 

BACKGROUND: Breast ultrasonography (US) is cost-effective for detecting breast implant-related complications, but its reliability remains highly operator-dependent. OBJECTIVES: This study developed and validated a deep learning model for the automate... read more 

Electrocatalysis is essential for renewable energy conversion, yet the mechanisms governing catalytic performance remain poorly understood due to the complex nature of electrochemical interfaces. Advances in nanomaterial synthesis and high-resolution... read more 

INTRODUCTION: Large language models (LLMs) can enhance learning engagement and accessibility, though their performance in dentistry is inconsistent. Bitewing radiographs are critical for caries detection but prone to diagnostic errors from operator p... read more 

Reproducibility and replicability are our scientific and ethical mandate, and the foundation of trust in nursing science and research. Both rest on transparent documentation of how data were actually analyzed. The rising use of generative artificial ... read more 

BACKGROUND: Coronary heart disease (CHD) with concomitant tumors is increasingly prevalent and is associated with a higher mortality. We aimed to develop 2 predictive models to enable early identification of tumor risk in patients with CHD and mortal... read more 

BackgroundGenerative Artificial Intelligence (AI) adoption transformed work structures after 2022, raising psychological safety concerns as efficiency priorities overshadow human-centered employee wellbeing.ObjectiveThis longitudinal study investigat... read more 

BACKGROUND: Heart failure (HF) classification based on left ventricular ejection fraction (LVEF) inadequately captures HF heterogeneity, limiting phenotype-specific therapies. While machine learning (ML) has been applied to HF with preserved ejection... read more