Artificial Intelligence Medical Compendium

OBJECTIVE: Despite growing recognition of pandemic preparedness gaps in low- and lower-middle-income countries (LLMICs), empirical evidence on facility-level capacity remains limited. This study assesses the capacity of health facilities in LLMICs to... read more 

BACKGROUND: Emotion recognition is increasingly essential for diagnosing mental disorders like depression and anxiety. Electroencephalography (EEG) is widely adopted for this purpose due to its high temporal resolution and non-invasive nature. Howeve... read more 

OBJECTIVE: This systematic literature review explores how temporal and time-related dimensions are incorporated into Machine Learning (ML) models used in Clinical Decision Support Systems (CDSS) for cancer. The study examines current applications, id... read more 

Graph partitioning aims to partition nodes into different local groups of equal size. Recently, graph neural networks (GNNs) have been widely used to solve graph partitioning problems. They generally follow a neighbor aggregation scheme to learn stru... read more 

Perivascular spaces (PVSs) form a central component of the brain's waste clearance system, the glymphatic system. These structures are visible on MRIs when enlarged, and their morphology is associated with aging and neurological disease. Manual quant... read more 

The rapid advancement of artificial intelligence (AI) is profoundly transforming the theoretical framework and technological paradigm of food detection. The study focuses on elucidating the underlying mechanisms of machine learning (ML)- and deep lea... read more 

BACKGROUND: Safety is a critical aspect of consumer products. However, there are millions of product related injuries reported each year. Traditional injury surveillance efforts led by public health agencies involve product related injury data collec... read more 

During the processing of dried Chuju (Chrysanthemum morifolium Ramat), rapid and non-destructive moisture content detection is crucial for quality control. Due to its complex structure, moisture distribution becomes highly non-uniform during drying p... read more 

Developing high signal-to-noise ratio strategies for immunochromatography remains challenging yet highly desirable. Here, we developed a "off-on" dual-mode immunochromatographic assay (ICA) enabling both sensitive on-field colorimetric detection (CIC... read more 

INTRODUCTION: Disability pension (DP) among young adults has steadily increased in Norway, with chronic pain and psychological distress among the main causes. This study examined the association between co-occurring psychological distress and chronic... read more