Artificial Intelligence Medical Compendium

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 

Medical image registration, which establishes spatial correspondences between different medical images, serves as a fundamental process in numerous clinical applications and diagnostic workflows. Despite significant advancement in unsupervised deep l... read more 

Creatine (CR) and Caffeine (CAF) are popular and extensively consumed dietary supplements (DS) on a global scale. Although the concomitant use of these substances may augment their effectiveness, it results in the risk of adulteration through mislabe... read more 

The publishing of science, and particularly research in psychiatry, has changed substantially in the last half-century, partially due to the transition from print on paper to the World-Wide Web and now the rise in the use of Artificial Intelligence (... read more 

PURPOSE: To investigate the efficacy of clinical information, traditional radiological, radiomics and deep-learning features combinations for constructing a predictive model for the Ki-67 index of meningiomas. MATERIAL AND METHODS: This study acquire... read more 

Numerous studies have presented fully automated techniques for assessing structural osteoarthritis (OA) progression, with recent work increasingly relying on deep learning (DL)-based methods. The objective of this narrative review was to summarize fi... read more