Artificial Intelligence Medical Compendium

Despite numerous deep learning models reporting high accuracy for oral cancer classification, most rely on a single train/test split on a single dataset, with limited statistical validation, external generalization testing, or explainability. This st... read more 

BACKGROUND: Breast cancer is a leading cause of cancer-related mortality among women globally. Accurate identification of HER2 status, particularly the HER2-low category, is crucial for effective treatment strategies, given the emergence of HER2-targ... read more 

The contemporary intensive care unit generates an overwhelming magnitude of high-frequency, granular physiological data. However, conventional decision-making for patients requiring temporary mechanical circulatory support (tMCS) remains tethered to ... read more 

Carotenoids are analytically challenging food constituents because their structural diversity, chemical instability, low abundance, and strong matrix dependence impose simultaneous demands on extraction selectivity, analyte preservation, chromatograp... read more 

Noble gases are traditionally known as not being easily involved in chemical reactions owing to their stable electronic configuration. Here, we study the electrochemical redox and electrochemiluminescence (ECL) mechanisms of a series of noble gases (... read more 

Supply chain management (SCM) plays a pivotal role in achieving competitive advantage, enhancing customer value, and ensuring efficient transformation of raw materials into finished food products. However, the increasing complexity and globalization ... read more 

Hydroxyapatite-titanium dioxide (HA-TiO2) heterojunction coatings are commonly applied to enhance the osseointegration of load-bearing orthopedic implants, but their clinical performance is limited due to coating delamination and fibrous tissue encap... read more 

Proteinuria, defined by an abnormally elevated concentration of proteins in the urine, serves as a critical biomarker for the early detection and diagnosis of preeclampsia. Elevated proteinuria levels adversely affect both maternal and foetal health,... read more 

BACKGROUND AND AIMS: Wearable technologies and artificial intelligence (AI) are shifting sports medicine from episodic, subjective assessment toward continuous, data-driven injury surveillance. This review aimed to map the main wearable sensor modali... read more 

Mitral regurgitation (MR) is among the most prevalent valvular heart diseases. We developed and externally validated a machine learning (ML)-based mortality prediction model for patients with significant MR. From the ChinaValvular Heart Disease (Chin... read more