Artificial Intelligence Medical Compendium

This Data Descriptor presents the Jute Diseases Image Dataset; a curated collection of 1390 high-resolution images aimed at supporting the development of machine learning models for timely identification and accurate diagnosis of jute (Corchorus) pla... read more 

OBJECTIVE: Effective patient triage in specialized clinics is crucial for managing long waiting lists and mitigating clinical risk. This is often performed by non-clinical administrative staff, whose prioritization may differ from clinical experts. T... read more 

OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of postoperative vasoplegia after cardiac surgery. DESIGN: A retrospective cohort study with model development and internal validation. SETTING: Tertiary ... read more 

PURPOSE: To compare the peripapillary choroidal vascularity index (PPCVI) in eyes with papilledema secondary to idiopathic intracranial hypertension (IIH) and pseudopapilledema due to optic disc drusen (ODD) using a novel deep learning algorithm. DES... read more 

AIMS: Artificial intelligence models can estimate a person's age from ECG. The gap between the predicted ECG age and chronological age, predicted age deviation (PAD), has been associated with cardiovascular risk factors and mortality. However, regres... read more 

BACKGROUND: Vacuum-assisted headspace solid-phase microextraction (Vac-HSSPME) is increasingly recognized as a powerful and environmentally friendly technique for extracting volatile and semi-volatile compounds from complex food matrices. While conve... read more 

This study developed a deep learning-based method for high resolution bathymetry prediction in the Philippine sea, aiming to improve the accuracy of seafloor depth estimation using multi-source marine geodetic data. The method integrates geographic c... read more 

Urine cytology is widely used for detecting urothelial carcinoma (UC), though its performance is constrained by limited sensitivity and substantial interobserver variability. An interpretable machine learning framework was developed to classify uroth... read more 

OBJECTIVES: The increasing digitisation of healthcare data and the rapid development of Artificial Intelligence (AI) pave the way for innovative strategies for infectious disease management. This study aimed to systematically retrieve and summarize c... read more 

Chocolate is a versatile product with flavours ranging from sweet to bitter. Cocoa, from a C3-photosynthetic plant, is its main raw material, while sugar from sugarcane (C4-metabolism) is commonly used. We analyzed the δ13C and δ15N composition of Br... read more