Artificial Intelligence Medical Compendium

PURPOSE OF REVIEW: Chronic obstructive pulmonary disease (COPD) is a leading cause of worldwide morbidity and mortality, yet significant barriers in its diagnosis and management persist. Artificial intelligence is rapidly emerging as a powerful tool ... read more 

Shallow lakes worldwide face escalating pressures from eutrophication and climate change, yet comprehensive monitoring of Chlorophyll-a (Chl-a) spatiotemporal dynamics remains challenging due to the high costs and logistical constraints of traditiona... read more 

Breast carcinoma (BC) remains one of the most common and lethal malignancies in women worldwide, making an early and accurate diagnosis a public health priority. Recent artificial intelligence (AI) research has increasingly explored multimodal fusion... read more 

The development of brain-inspired artificial intelligence is based on an understanding of brain cognitive functions, which are influenced by cross-modal interactions between learning and memory. In this paper, inspired by the neural mechanisms and bi... read more 

Heterogeneous Fenton-like catalysis holds significant promise for environmental remediation, yet conventional trial-and-error methodologies fail to capture the intrinsic structure-activity relationships in catalyst design. Herein, we present an integ... read more 

PURPOSE: Glucose homeostasis relies on coordinated interactions among multiple organs, and its disruption relates to diabetes development. This study investigated how inter-organ metabolic coordination, assessed by whole-body [¹⁸F]FDG PET/CT, is alte... read more 

BACKGROUND: Urinary tract infection (UTI) is a serious problem in the healthcare system. It is caused by bacteria from the gastrointestinal tract. The risk factors that impact the UTI incidence include administration of certain drugs (flozins), sex, ... read more 

BACKGROUND: Digital Twins (DTs) have transitioned from theory to reality, with growing applications in healthcare. Data generated by technologies (e.g. rehabilitation robots), essential for DT implementation, though widely produced in clinical settin... read more 

People often hesitate to rely on algorithmic advice, even when it is objectively more accurate than human input-a phenomenon known as algorithm aversion. In two experiments, we investigated the cognitive mechanisms underlying this effect in a clinica... read more 

Chronic kidney disease (CKD) is a leading cause of morbidity and mortality worldwide, with early detection being vital for effective treatment and management. Traditional diagnostic methods often struggle with the difficulty of CKD datasets, leading ... read more