Artificial Intelligence Medical Compendium

BACKGROUND: Predicting mortality in chronic obstructive pulmonary disease (COPD) patients supports clinical decision-making and resource allocation. While most existing prediction models rely on clinical, physiological, imaging, or biological measure... read more 

BACKGROUND & AIMS: Small bowel capsule endoscopy (SBCE) is limited by lengthy, variable interpretation. Artificial intelligence (AI) offers a transformative approach, enabling faster and more accurate lesion detection. This multicenter study aimed to... read more 

In the fluidized bed granulation (FBG) process, accurate monitoring of granule moisture content is crucial for quality control. Near-infrared (NIR) spectroscopy is a commonly used method for detecting key attributes of granules in FBG processes. Howe... read more 

Considering the advantages of variational mode decomposition (VMD) in mathematical decomposition and extreme learning machine (ELM) in data modeling, a new regression model named variational mode decomposition unfolded extreme learning machine (VMD-U... read more 

Due to the inherent specificity and high sensitivity, biomedical detections based on Surface-Enhanced Raman Scattering (SERS) technology have garnered increasing attention. In the SERS detection process, fabricating a highly sensitive SERS substrate ... read more 

In forensic practice, accurately determining whether an individual has been subjected to prolonged restraint or assessing injuries resulting from restraint can be challenging. To address this, we explored a novel approach using attenuated total refle... read more 

Myocardial hypertrophy and heart failure are leading causes of mortality in cardiovascular diseases, yet current diagnostic techniques lack the resolution to monitor molecular changes effectively. In this study, we employed confocal Raman spectroscop... read more 

Large Language Models (LLMs) are increasingly applied in healthcare and are expected to play an active role in clinical practice. However, their effectiveness for clinical note summarization remains underexplored, and systematic comparisons across di... read more 

The proliferation of antibiotic resistance genes (ARGs) in environment poses a threat to global public health. Although microbial fuel cell (MFC) has been demonstrated to mitigate ARG amplification, the mechanism remains unclear. This study employed ... read more 

BACKGROUND: Hypertensive nephropathy (HTN) arises from chronic hypertension and may potentially result in severe renal failure. Due to the absence of reliable and efficient biomarkers, the diagnosis of HTN is constrained. Mitochondrial-associated gen... read more