Artificial Intelligence Medical Compendium

The rapid growth of biomedical data and advancements in artificial intelligence have created unprecedented opportunities for scientific discovery. However, effectively leveraging these technologies requires integrating cutting-edge methods into acces... read more 

This article reviews how artificial intelligence and machine learning are reshaping health care. After a historical overview and glossary, we explore current clinical uses including diagnostics, treatment planning, and operations. We examine ethical,... read more 

AIM: Low back pain (LBP) affects a significant proportion of the population. There has been an increase in referrals for magnetic resonance imaging (MRI) of the lumbar spine (LS) for patients with back pain. The aim of this study was to assess the ap... read more 

BACKGROUND: Knee Osteoarthritis (KOA) is a degenerative joint disease marked by progressive cartilage deterioration, closely tied to cellular senescence. Despite advances in understanding KOA mechanisms, systematically identifying aging-related bioma... read more 

As the reliability of nontreponemal tests for evaluating syphilis treatment efficacy is increasingly questioned, we propose an optimized approach using Treponema pallidum (Tp) antigens (Tp0134, Tp0768, Tp0971, Tp0462, and Tp92) combined with a machin... read more 

This article presents a curated dataset of transperineal pelvic floor ultrasound videos collected from 111 patients in a clinical setting using a Canon i700 Aplio® ultrasound system with a PVT-675 MV 3D probe. Each video captures the midsagittal view... read more 

Floods impose severe risks in urban areas, yet operational mapping often stops at inundation extent rather than depth, which is critical for assessing and managing accessibility, and risk. Progress in deep learning offers a path forward but is constr... read more 

The management of osteoporosis in real-world clinical practice is highly heterogeneous, reflecting the complexity and variability inherent in therapeutic decision-making. Although artificial intelligence (AI)-based tools have been developed to suppor... read more 

Greenhouse gases (GHGs) emission from composting was a major concern, however it is still unpredictable due to the complex characteristics of organic waste and differentiated composting conditions. In order to raise the predictability of GHGs emissio... read more 

OBJECTIVE: Progress in the development of deep learning tools for dental imaging is constrained by limited access to real-world datasets due to privacy concerns, class imbalance, and data scarcity. This narrative review focuses on the use of syntheti... read more