Artificial Intelligence Medical Compendium

The primary focus of this research is to develop an adaptive output feedback controller designed to minimize a cost-to-go function subject to constraints on input, output, and tracking error for a class of unknown non-affine discrete-time systems. Th... read more 

In the past decade gradient-based deep learning has revolutionized several applications. However, this rapid advancement has highlighted the need for a deeper theoretical understanding of its limitations. Research has shown that, in many practical le... read more 

PURPOSE: To develop a multiparametric breast MRI radiomics and deep learning-based multimodal model for predicting preoperative Ki-67 expression status in breast cancer, with the potential to advance individualized treatment and precision medicine fo... read more 

The COVID-19 pandemic led to three years (2020-2022) of human activity restrictions in China, significantly impacting urban air quality, yet long-term health risks from PM2.5-bound heavy metals remain unclear. This study observed PM2.5 and 21 associa... read more 

Identification of chromosome pairs is important for karyotype generation and genetic disease prediction. Conventional methods tend to fail with structural variations of the chromosomes and imprecise boundaries. To solve these issues, we propose a dee... read more 

Oral potentially malignant disorders (OPMDs) refer to oral mucosal disorders with an increased risk of malignancy, primarily oral squamous cell carcinoma (OSCC), especially in South and Southeast Asia. Since not all patients with OPMDs develop oral c... read more 

A substantial body of research examines the potential of gene-expression-based biomarkers for diagnosing and selecting treatments for neuropsychiatric disorders, yet no clear consensus has been reached regarding the influence of controllable factors ... read more 

BACKGROUND: Tunneled central venous catheters (tCVCs) are essential in hemodialysis when arteriovenous access is not feasible. Their correct positioning is crucial to ensure efficient dialysis and prevent complications such as stenosis and thrombosis... read more 

Ensuring safety in next-generation intelligent cockpits demands accurate assessment of pilot states, particularly distinguishing between eustress and distress. Traditional stress monitoring lacks this nuance and struggles across varying flight tasks.... read more 

BACKGROUND AND OBJECTIVES: Chronic pain affects more patients than cancer, diabetes, and heart disease combined, resulting in high morbidity and significant healthcare costs. Spinal cord stimulation (SCS), which is an Food and Drug Administration-app... read more