Artificial Intelligence Medical Compendium

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BACKGROUND & AIMS: Endoscopic scoring of Crohn's disease (CD) is challenging, as mucosal disease is patchy with highly variable morphology, size, and severity. Computer vision may help quantify disease activity with similar performance as standard in... read more 

One of the leading causes of human subfertility is the continuous decline in semen quality, contributing to a global fertility crisis. Over half of subfertile men suffer from asthenozoospermia and teratozoospermia, with mechanisms still largely unkno... read more 

Network clustering is employed in bioinformatics and data mining studies to investigate the structural and functional properties of protein-protein interaction (PPI) networks. In multiple studies over the past two decades, network clustering has prov... read more 

BackgroundThe future of artificial intelligence in medicine includes the use of machine learning and large language models to improve diagnostic accuracy, as a point-of-care tool, at the time of admission to an acute care hospital. The large language... read more 

INTRODUCTION: Type 2 diabetes (T2D) significantly increases dementia risk, yet the molecular mechanisms underlying this association remain unclear. OBJECTIVES: This study aimed to identify protein signatures that distinguish dementia risk in T2D pati... read more 

Artificial intelligence (AI) for image-based herbarium specimen identification has thus far focused on plants that can be identified by eye. Here, we develop the first AI focused on identifying herbarium specimens of a bryophyte group, peat mosses in... read more 

BACKGROUND: Mental health issues, including depression, anxiety, and insomnia, are increasingly prevalent among university students and graduates, especially those involved in academic research. The impact of research-related characteristics on menta... read more 

AIM: This study aimed to gain insight into the thoughts, perceptions and needs of nurses caring for older adults with cardiometabolic multimorbidity regarding a planned machine learning-based clinical decision support system designed to classify care... read more 

Objective: Microcounseling skills are fundamental to effective psychotherapy, yet manual coding is time- and resource-intensive. This study explores the potential of large language models (LLMs) to automate the identification of these skills in thera... read more