Artificial Intelligence Medical Compendium

OBJECTIVES: To evaluate the effect of image type on the performance of a deep learning classification model for decision-making in orthodontic treatment planning, and to investigate the clinical applicability of artificial intelligence in determining... read more 

BACKGROUND: Steroid hormone profiles in affective disorders suggest hypothalamic-pituitary-adrenal (HPA) axis dysregulation and may reveal novel therapeutic targets. However, most existing studies focus narrowly on glucocorticoids. This study aims to... read more 

BACKGROUND: Diagnosis of prostate cancer in the PSA gray zone (4-10 ng/mL) and PI-RADS 3 cases remains challenging. Although multiparametric MRI (mpMRI) is widely used, its diagnostic accuracy is limited by inter-reader variability and the lack of in... read more 

Balancing metabolic pathways is critical for engineering microbial platforms to efficiently and robustly synthesize value-added bioproducts. In the oleaginous yeast Yarrowia lipolytica engineered for β-carotene production, lipid synthesis supports ca... read more 

BACKGROUND: Thymic epithelial tumors (TETs) are rare malignancies that pose significant diagnostic challenges due to their heterogeneous histological patterns and substantial interobserver variability in classification. Despite standardized World Hea... read more 

BACKGROUND: Patellofemoral pain (PFP) in active women is associated with gait adaptations. The Movement Deviation Profile (MDP) summarises deviations in multi-segment kinematic deviation, but it is unclear how the magnitude of deviation relates to pa... read more 

Precision medicine has transformed healthcare by tailoring treatment plans to an individual's genetic profile, in contrast to standardized therapies. Patient-derived tumoroids facilitate cancer research, while extracellular vesicles (EVs) provide ins... read more 

PURPOSE: An artificial intelligence (AI) system for detecting interstitial lung abnormalities (ILA) was previously developed but requires external validation. This study aimed to examine the robustness across different populations and investigate ass... read more 

Stroke remains a leading cause of mortality and long-term disability worldwide, where rapid diagnosis and timely intervention are critical for improving outcomes. Neurovascular imaging modalities, including magnetic resonance angiography, computed to... read more 

BACKGROUND: Several omics methods have been successfully used in hypertension prediction. However, the predictive ability of various multiomics data has not been compared in the same study sample, and it is unknown whether they provide additional pre... read more