Artificial Intelligence Medical Compendium

Effective bone regeneration requires scaffolds capable of guiding and supporting new mineralized matrix formation. In this study, silk fibroin constructs cultured with human mesenchymal stem cells (hBMSCs) in the presence of either Fetal Bovine Serum... read more 

Procymidone residues threaten Allium tuberosum food safety. This study combines an electronic nose (E-nose) with a color sensor array (CSA) for qualitative and quantitative detection of its procymidone residues. By exploring architectural and perform... read more 

OBJECTIVE OR PURPOSE: To develop a lightweight neural network for automated cross-sectional and en face segmentation of ultra-widefield (UWF) OCT images acquired for retinopathy of prematurity screening. DESIGN: Cross-sectional study. SUBJECTS: Twent... read more 

Osteosarcoma (Ost) is an extremely aggressive primary bone malignancy that mostly occurs among children and young adults. Precise histopathological classification is challenging due to strong intra- and inter-tumoral heterogeneity, combined with the ... read more 

BACKGROUND: Coronary artery brightness (CAB) on echocardiography has been observed during the acute phase of Kawasaki disease (KD), but its clinical relevance remains unclear. This study aimed to quantify CAB and evaluate its clinical significance us... read more 

OBJECTIVE: Cervical cancer remains a leading cause of gynecologic cancer-related mortality worldwide, with human papillomavirus (HPV) testing being a key screening tool. However, current guidelines often categorize high-risk HPV types broadly, overlo... read more 

South Korea, now a "super-aged" society, faces a rising burden of fragility fractures, yet underdiagnosis remains a major barrier, with limited DXA access restricting early detection. Artificial intelligence (AI) applied to routine chest radiographs ... read more 

Robot-assisted deep brain stimulation (DBS) surgical systems in neurosurgery have demonstrated significant advantages in enhancing operative precision, reducing complications, and improving clinical outcomes. With advancements in robot-assisted surgi... read more 

In this paper, the Hopf bifurcation of a Caputo fractional-order delayed neural network with inertial terms is systematically investigated. Time delays and fractional order are chosen as the bifurcation parameters, respectively, with an indirect disc... read more 

This study explores the use of sentiment analysis (i.e., a natural language processing [NLP] technique) to assess teacher emotional valence in speech (i.e., whether language is positive, negative, or neutral) during classroom interactions. We analyze... read more