Artificial Intelligence Medical Compendium

This editorial highlights the central role of radiographers in leading AI-driven radiographic image-quality assessment. It outlines how AI can enhance real-time feedback, support consistency, and strengthen safe, patient-centered imaging practice. read more 

This study examines how CEO personality traits influence IPO risk disclosure quality. We employ a novel multimodal deep learning approach to measure CEO personality traits using audio-visual data from IPO roadshow presentations. Our methodology integ... read more 

Landfill stability and environmental protection are critical issues in municipal solid waste (MSW) management, especially in tropical countries, where warm and humid conditions can accelerate leachate and gas production. This paper investigated a lan... read more 

OBJECTIVE: To explore the association between cancer information overload and attitudes toward cancer screening among internal medicine patients. AIMS: To identify predictors of screening attitudes using statistical and machine learning models. METHO... read more 

Musculoskeletal injuries and interindividual variability in recovery remain critical challenges for sustaining elite athletic performance. Despite advances in diagnostics, training, and rehabilitation, unexplained differences in injury risk and recov... read more 

The causal relationship between the artificial sweetener aspartame and ovarian cancer (OC), a highly lethal malignancy, remains unclear. This study, therefore, employed a multi-omics approach to investigate this causal link and its potential mechanis... read more 

The relationship between circadian rhythm disorder and the occurrence and progression of colorectal cancer (CRC) has received attention. The circadian rhythm is maintained by the central clock located in the suprachiasmatic nucleus of the hypothalamu... read more 

Pancreatic cancer, particularly ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal subtypes due to late diagnosis, the absence of early biomarkers, and the presence of a complex tumor microenvironment (TME). This TME is characteriz... read more 

Machine learning (ML) has increasingly been adopted in drug formulation science to support more efficient, data-driven drug development strategies. A growing number of studies have demonstrated the promise of ML tools across various aspects of drug f... read more 

UNLABELLED: Knee osteoarthritis (OA) is a prevalent degenerative joint disease and a leading cause of disability worldwide. While traditionally considered a mechanical disorder, accumulating evidence highlights the critical role of dysregulated immun... read more