Artificial Intelligence Medical Compendium

The abnormal growth of cells leads to brain malignancy in humans, which is among the most prevalent causes of fatalities in adults worldwide. Patients' likelihood of survival increases, and therapeutic opportunities improve when brain tumors are iden... read more 

In situations of limited experience and high-dimensional input data, effective representation learning plays a vital role in enabling visual reinforcement learning (RL) to excel in diverse tasks. To better leverage the agent's sampled trajectory duri... read more 

Deep learning has shown promise in motor imagery-based electroencephalogram (MI-EEG) decoding, a critical task in non-invasive brain-computer interfaces (BCIs). In response to the computational complexity of deep learning models to be deployed in pra... read more 

Food allergies are increasing in prevalence, yet current diagnostic tests remain either inaccurate or potentially unsafe. The basophil activation test (BAT) has emerged as a promising functional assay, involving the ex vivo stimulation of whole blood... read more 

With the accelerating global population aging, establishing effective brain health assessment systems has emerged as a critical challenge in public health. Neuroimaging-based brain age prediction, serving as a potential biomarker for evaluating indiv... read more 

OBJECTIVE: This study investigates the diagnostic potential of nicotinamide N-methyltransferase (NNMT) and NM23A as biomarkers for renal cell carcinoma (RCC), focusing on their ability to facilitate early detection and improve diagnostic precision. M... read more 

Heart failure (HF) is a major global health burden, and complex comorbidity patterns can worsen clinical outcomes and complicate patient care. This study aimed to identify distinct comorbidity-based clusters among HF patients and evaluate their assoc... read more 

Carpal tunnel syndrome (CTS) is recognized as the most frequently encountered median nerve (MN) entrapment neuropathy, with a disproportionate burden in middle-aged and elderly individuals and in occupational groups with repetitive wrist use. Anatomi... read more 

Deep learning (DL) has emerged as a powerful tool for modeling unstructured data, thereby improving prediction accuracy and expanding the application of machine learning (ML) in toxicity assessment. However, selecting suitable DL architectures and tr... read more 

BACKGROUND AND AIMS: The substantial miss rate during screening and surveillance colonoscopy, particularly for the right side, underscores the need to improve training. The role of artificial intelligence (AI)-assisted colonoscopy in the training env... read more