Artificial Intelligence Medical Compendium

OBJECTIVES: To develop and validate an ultrasonography-based machine learning (ML) model for predicting malignant endometrial and cavitary lesions. METHODS: This retrospective study was conducted on patients with pathologically confirmed results foll... read more 

Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, its etiology and underlying pathophysiology remains unclear. Although several biologics have substantially imp... read more 

The adulteration of pure edible oils, particularly with cost-effective oils like palm oil, has become a significant concern due to its detrimental impact on oil quality and human health. This study examines how palm oil adulteration affects the diele... read more 

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