Artificial Intelligence Medical Compendium

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PURPOSE: To develop an efficient approach to estimating visual field (VF) in patients with X-linked retinitis pigmentosa (RP) based on macular OCT scans. DESIGN: Retrospective analysis of patients who were enrolled in a natural history study at Moorf... read more 

Pediatric femoral neck fractures (FNFs) are uncommon but may result in severe complications if undiagnosed. This study developed a deep learning model for automated detection and localization of FNFs on pediatric hip radiographs. The model was traine... read more 

BACKGROUND: The Agatston CAC score from CT-calcium scoring (CTCS) is a standard guideline recommended measure for cardiovascular risk assessment that quantifies calcified plaque burden. However, many studies have reported lower discrimination of CTCS... read more 

The authentication of vegetable oils is essential for consumer protection and regulatory compliance. This study compares low-field (LF, 100 MHz) and high-field (HF, 600 MHz) proton nuclear magnetic resonance (1H NMR) spectroscopy to evaluate their pe... read more 

Schizophrenia is one of the serious disorders and, if left untreated, can result in a range of problems with cognition, behavior, and emotions that affect every area of life. Diagnosis based on behavioral and clinical investigations remains difficult... read more 

Sidestream struvite recovery systems can significantly enhance the performance of mainstream biological phosphorus (P) removal processes by reducing intraplant P cycling from solids handling return flows. While adoption of struvite recovery systems h... read more 

Accurate identification of anomalies and reconstruction of missing data are crucial for the intelligent operation of industrial park wastewater treatment plants (WWTPs). However, traditional statistical and model-based approaches often fall short in ... read more 

Phosphorus (P) is a vital macronutrient for plant growth, but its limited availability in soil due to fixation renders up to 80 % of fertilizers ineffective. Visual symptoms for P deficiency appear late or remain inconclusive, complicating timely int... read more 

This paper investigates the bipartite synchronization problem of competitive-cooperative inertial neural networks (CCINNs) with time-varying delays under a composite control strategy. The main challenge lies in simultaneously addressing the complex c... read more